A. Raftery

Peter D. Hoff, A. Raftery, K. Y. Yeung, 2012, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Construction of regulatory networks using expression time-series data of a genotyped population

Roger E Bumgarner, A. Raftery, K. Y. Yeung, 2011, Proceedings of the National Academy of Sciences.

Ice Floe Identification in Satellite Images Using Mathematical Morphology and Clustering about Principal Curves

A. Raftery, J. Banfield, 1992 .

World population stabilization unlikely this century

A. Raftery, Jennifer Chunn, P. Gerland, 2014, Science.

Bayesian analysis of a Poisson process with a change-point

A. Raftery, V. Akman, 1986 .

Calibrated Probabilistic Mesoscale Weather Field Forecasting

Tilmann Gneiting, Adrian E Raftery, Yulia R. Gel, 2004 .

Space-time modeling with long-memory dependence: assessing Ireland's wind-power resource. Technical report

A. Raftery, J. Haslett, 1987 .

Model Validation and Spatial Interpolation by Combining Observations with Outputs from Numerical Models via Bayesian Melding

A. Raftery, M. Fuentes, 2001 .

Model-Based Clustering, Discriminant Analysis, and Density Estimation

Adrian E. Raftery, Chris Fraley, A. Raftery, 2002 .

Three Types of Gamma-Ray Bursts

G. J. Babu, A. Raftery, E. Feigelson, 1998, astro-ph/9802085.

Estimating the Integrated Likelihood via Posterior Simulation Using the Harmonic Mean Identity

M. Newton, A. Raftery, J. Satagopan, 2006 .

A model for high-order Markov chains

A. Raftery, 1985 .

The Mixture Transition Distribution Model for High-Order Markov Chains and Non-Gaussian Time Series

A. Raftery, A. Berchtold, 2002 .

Extreme Value Analysis of Environmental Time Series: An Application to Trend Detection in Ground-Level Ozone: Comment: Are Ozone Exceedance Rates Decreasing?

A. Raftery, 1989 .

Bayes factors and model uncertainty

Adrian E. Raftery, Robert E. Kass, A. Raftery, 1995 .

Stopping the Gibbs Sampler,the Use of Morphology,and Other Issues in Spatial Statistics (Bayesian image restoration,with two applications in spatial statistics) -- (Discussion)

A. Raftery, J. Banfield, 1991 .

Bayes Factors for Non‐Homogeneous Poisson Processes with Vague Prior Information

A. Raftery, V. Akman, 1986 .

Inference and Prediction for a General Order Statistic Model with Unknown Population Size.

A. Raftery, 1987 .

Analysis of a Simple Debugging Model.

A. Raftery, 1988 .

Does Irish education approach the meritocratic ideal - a logistic analysis

A. Raftery, M. Hout, 1985 .

Maximally Maintained Inequality: Expansion, Reform, and Opportunity in Irish Education, 1921-75.

A. Raftery, M. Hout, 1993 .

How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis

Adrian E. Raftery, Chris Fraley, A. Raftery, 1998, Comput. J..

Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors

Adrian E. Raftery, Chris Volinsky, David Madigan, 1999 .

Discussion: Performance of Bayesian Model Averaging

A. Raftery, Yingye Zheng, 2003 .

MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering †

Adrian E. Raftery, Chris Fraley, A. Raftery, 2007 .

Nearest-Neighbor Variance Estimation (NNVE)

A. Raftery, Naisyin Wang, 2002 .

Inference for Deterministic Simulation Models: The Bayesian Melding Approach

A. Raftery, David Poole, 2000 .

Bayesian melding for estimating uncertainty in national HIV prevalence estimates

A. Raftery, L. Alkema, T. Brown, 2008, Sexually Transmitted Infections.

Model-based Methods of Classification: Using the mclust Software in Chemometrics

Adrian E. Raftery, Chris Fraley, A. Raftery, 2007 .

Model-based Region-of-interest Selection in Dynamic Breast MRI

A. Raftery, C. Fraley, F. Forbes, 2006, Journal of computer assisted tomography.

MCLUST: Software for Model-Based Cluster Analysis

Adrian E. Raftery, Chris Fraley, A. Raftery, 1999 .

Bayesian Robust Inference for Differential Gene Expression in Microarrays with Multiple Samples

Roger E Bumgarner, A. Raftery, K. Y. Yeung, 2004, Biometrics.

Discharge Rates of Medicare Stroke Patients to Skilled Nursing Facilities: Bayesian Logistic Regression with Unobserved Heterogeneity

A. Raftery, M. Kahn, 1996 .

Model-Based Clustering , Discriminant Analysis , and Density Estimation 1

A. Raftery, C. Fraley, 2002 .

Inference in model-based cluster analysis

Adrian E. Raftery, Christian P. Robert, Gilles Celeux, 1997, Stat. Comput..

Principal Curve Clustering With Noise

Adrian E. Raftery, Derek C. Stanford, A. Raftery, 1997 .

Probabilistic forecasts, calibration and sharpness

A. Raftery, T. Gneiting, F. Balabdaoui, 2007 .

Less Than 2 °C Warming by 2100 Unlikely

Adrian E. Raftery, Alec S. Zimmer, Richard Startz, 2017, Nature climate change.

Probabilistic Weather Forecasting for Winter Road Maintenance

A. Raftery, T. Gneiting, V. Berrocal, 2010 .

Probabilistic Wind Speed Forecasting Using Ensembles and Bayesian Model Averaging

J. M. Sloughter, A. Raftery, T. Gneiting, 2013 .

Modeling flat stretches, bursts, and outliers in time series using mixture transition distribution models

A. Raftery, R. Martin, N. Le, 1996 .

MODELING OUTLIERS , BURSTS , AND FLAT STRETCHES IN TIME SERIES USING MIXTURE TRANSITION DISTRIBUTION ( MTD ) l \ 10 DELS by

A. Raftery, R. Martin, N. Le, 1990 .

Title mclust 5 : Clustering , Classification and Density Estimation Using Gaussian Finite Mixture Models

A. Raftery, T. B. Murphy, Michael Fop, 2022 .

Estimation and Modelling Repeated Patterns in High Order Markov Chains with the Mixture Transition Distribution Model

A. Raftery, S. Tavaré, 1994 .

Default Priors and Predictive Performance in Bayesian Model Averaging, with Application to Growth Determinants

A. Raftery, T. Eicher, Chris Papageorgiou, 2007 .

Analysis of Agricultural Field Trials in the Presence of Outliers and Fertility Jumps

A. Raftery, R. Taplin, 1994 .

Bayesian Information Criterion for Censored Survival Models

A. Raftery, C. Volinsky, 2000, Biometrics.

COVARIATE SELECTION IN HIERARCHICAL MODELS OF HOSPITAL ADMISSION COUNTS: A BAYES FACTOR APPROACH

A. Raftery, S. Rosenkranz, ISusan L. Rosenkranz, 2007 .

Event history modeling of world fertility survey data

A. Raftery, M. Kahn, S. Lewis, 1996 .

A bayesian framework and importance sampling methods for synthesizing multiple sources of evidence and uncertainty linked by a complex mechanistic model

A. Raftery, G. Givens, 1993 .

MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis

Roger E Bumgarner, A. Raftery, K. Y. Yeung, 2008, Genome Biology.

Integration of multiple data sources for gene network inference using genetic perturbation data

William Chad Young, A. Raftery, K. Y. Yeung, 2017, bioRxiv.

Bayesian model averaging in model-based clustering and density estimation

A. Raftery, T. B. Murphy, Niamh Russell, 2015, 1506.09035.

Model-Based Clustering With Dissimilarities: A Bayesian Approach

A. Raftery, Man-Suk Oh, 2007 .

Model-Based Clustering for Image Segmentation and Large Datasets Via Sampling 1

A. Raftery, C. Fraley, L. Buydens, 2006 .

Bayesian Inference for Color Image Quantization via Model-Based Clustering Trees

A. Raftery, Jean-Luc Starck, F. Murtagh, 2001 .

Bayesian morphology : Fast unsupervised Bayesian image analysis

A. Raftery, F. Forbes, 1999 .

Bayesian Morphology : Fast Unsupervised

A. Raftery, 1998 .

Algorithms for Model-based Gaussian Hierarchical Clustering 1

A. Raftery, C. Fraley, 1996 .

Time Series of Continuous Proportions

A. Raftery, P. Guttorp, G. Grunwald, 1993 .

Non-Gaussian state-space modeling of nonstationary time series. Comment. Rejoinder

G. Kitagawa, A. Raftery, R. Kohn, 1987 .

Model-based clustering and data transformations for gene expression data

Adrian E. Raftery, Ka Yee Yeung, Walter L. Ruzzo, 2001, Bioinform..

Robust Estimation of cDNA Microarray Intensities with Replicates

Roger E Bumgarner, A. Raftery, K. Y. Yeung, 2003 .

Estimating the Sizes of Populations At Risk of HIV Infection From Multiple Data Sources Using a Bayesian Hierarchical Model.

A. Raftery, L. Bao, A. Reddy, 2015, Statistics and its interface.

Sociological Methodology 1997

A. Raftery, T. Liao, 1998 .

Calibrated Surface Temperature Forecasts from the Canadian Ensemble Prediction System Using Bayesian Model Averaging

A. Raftery, R. Verret, L. Wilson, 2007 .

Latent class analysis variable selection

Nema Dean, Adrian E Raftery, A. Raftery, 2010, Annals of the Institute of Statistical Mathematics.

Bayesian Variable and Transformation Selection in Linear Regression

David Madigan, Adrian E Raftery, Jennifer A Hoeting, 2002 .

Markov Chain Monte Carlo With Mixtures of Mutually Singular Distributions

Raphael Gottardo, Adrian E Raftery, A. Raftery, 2008 .

Bias Correction and Bayesian Model Averaging for Ensemble Forecasts of Surface Wind Direction

Adrian E. Raftery, Peter Guttorp, Tilmann Gneiting, 2010 .

ESTIMATING AND FORECASTING THE SMOKING-ATTRIBUTABLE MORTALITY FRACTION FOR BOTH GENDERS JOINTLY IN OVER 60 COUNTRIES.

A. Raftery, Yicheng Li, 2019, The annals of applied statistics.

Joint Probabilistic Projection of Female and Male Life Expectancy.

Patrick Gerland, Adrian E Raftery, A. Raftery, 2014, Demographic research.

Inference from Multiple Imputation for Missing Data Using Mixtures of Normals.

Adrian E Raftery, Naisyin Wang, A. Raftery, 2010, Statistical methodology.

Three Short Papers on Sampling-Based Inference: 1. How Many Iterations in the Gibbs Sampler? 2. Model Determination. 3. Spatial Statistics

Adrian E. Raftery, Jeffrey D. Banfield, A. Raftery, 1991 .

Choosing the link function and accounting for link uncertainty in generalized linear models using Bayes factors

Adrian E. Raftery, Claudia Czado, A. Raftery, 2006 .

Statistics in Sociology, 1950–2000

Adrian E. Raftery, A. Raftery, 2000 .

Time series analysis

Adrian E. Raftery, A. Raftery, 1985 .

A continuous multivariate exponential distribution

Adrian E. Raftery, A. Raftery, 1984 .

Bayesian reconstruction of two‐sex populations by age: estimating sex ratios at birth and sex ratios of mortality

A. Raftery, P. Gerland, S. Clark, 2013, Journal of the Royal Statistical Society. Series A,.

Classification of Mixtures of Spatial Point Processes via Partial Bayes Factors

Adrian E. Raftery, A. Raftery, Daniel C. I. Walsh, 2005 .

Markov chain Monte Carlo with mixtures of singular distributions

A. Raftery, R. Gottardo, 2004 .

bayesTFR: An R Package for Probabilistic Projections of the Total Fertility Rate.

Adrian E Raftery, Hana Ševčíková, Leontine Alkema, 2011, Journal of statistical software.

Computing Normalizing Constants for Finite Mixture Models via Incremental Mixture Importance Sampling (IMIS)

Adrian E. Raftery, Russell Steele, Mary J. Emond, 2006 .

CONSTANTS FOR FINITE MIXTURE MODELS VIA INCRElVlENTAL MIXTURE IMPORTANCE SAlVIPLING ( IMIS ) by

A. Raftery, R. Steele, M. Emond, 2003 .

Easy Computation of Bayes Factors and Normalizing Constants for Mixture Models via Mixture Importance Sampling

Adrian E. Raftery, Russell Steele, Mary J. Emond, 2001 .

Comparing methods for statistical inference with model uncertainty

A. Raftery, Anupreet Porwal, 2022, Proceedings of the National Academy of Sciences of the United States of America.

How Do Education and Family Planning Accelerate Fertility Decline?

A. Raftery, Daphne H. Liu, 2020, Population and development review.

Bayesian Robust Variable and Transformation Selection : A Unified Approach

A. Raftery, R. Gottardo, 2007 .

A stochastic infection rate model for estimating and projecting national HIV prevalence rates

A. Raftery, L. Bao, 2010, Sexually Transmitted Infections.

Probabilistic projections of HIV prevalence using Bayesian melding.

Adrian E. Raftery, Samuel J. Clark, Leontine Alkema, 2007, 0709.0421.

Inference about the Ratio of Two Parameters, with Application to Whale Censusing

Adrian E. Raftery, Tore Schweder, A. Raftery, 1993 .

Estimating the Correlation in Bivariate Normal Data With Known Variances and Small Sample Sizes

Adrian E Raftery, Bailey K Fosdick, A. Raftery, 2012, The American statistician.

Strictly Proper Scoring Rules, Prediction, and Estimation

A. Raftery, T. Gneiting, 2007 .

Estimating Large Correlation Matrices for International Migration.

Jonathan J. Azose, A. Raftery, 2016, The annals of applied statistics.

Probabilistic projection of subnational total fertility rates

A. Raftery, P. Gerland, H. Sevcikova, 2017, Demographic research.

The Effects of Family Disruption on Social Mobility.

A. Raftery, Timothy J. Biblarz, 1993 .

lvlodel Validation and Spatial Interpolation by Combining Observations \ vith Outputs from Numerical lvlodels via Bayesian lvlelding 1

A. Raftery, M. Fuentes, 2001 .

Contour Models for Boundaries Enclosing Star-Shaped and Approximately Star-Shaped Polygons

Hannah M. Director, A. Raftery, 2020, 2007.04386.

Probabilistic population projections for countries with generalized HIV/AIDS epidemics

A. Raftery, S. Clark, D. Sharrow, 2016, Population studies.

Long-Run Performance of Bayesian Model Averaging

A. Raftery, Yingye Zheng, 2003 .

INFERENCE FOR THE BINOMIAL N PARAlVIETER : A BAYES ElVIPIRICAL BAYES APPROACH

A. Raftery, 1986 .

Uncertain Population Forecasting: A Case for Practical Uses

A. Raftery, A. O'Hagan, J. Forster, 2014 .

Are ozone exceedance rates decreasing ? Comment on " Extreme value analysis of environmental time-series : An application to trend ( eIection ill ground-level ozone " by

A. Raftery, 2022 .

A Bayesian approach to combine disparate spatial data

Adrian E. Raftery, Montserrat Fuentes, A. Raftery, 2002 .

Age-Specific Mortality and Fertility Rates for Probabilistic Population Projections

A. Raftery, P. Gerland, Nan Li, 2015, 1503.05215.

A method for simultaneous variable selection and outlier identification in linear regression

D. Madigan, A. Raftery, J. Hoeting, 1996 .

Calibrating Multimodel Forecast Ensembles with Exchangeable and Missing Members Using Bayesian Model Averaging

Tilmann Gneiting, Adrian E. Raftery, Chris Fraley, 2010 .

Latent Space Approaches to Social Network Analysis

Peter D. Hoff, A. Raftery, M. Handcock, 2002 .

Regional Probabilistic Fertility Forecasting by Modeling Between-Country Correlations.

A. Raftery, B. Fosdick, 2012, Demographic research.

Modeling Age-Specific Mortality for Countries with Generalized HIV Epidemics

A. Raftery, S. Clark, D. Sharrow, 2014, PloS one.

Estimation in the Mixture Transition Distribution Model for High Order Markov Chains

A. Raftery, S. Tavaré, 1991 .

The United Nations Probabilistic Population Projections: An Introduction to Demographic Forecasting with Uncertainty.

A. Raftery, P. Gerland, L. Alkema, 2015, Foresight.

Supplementary Materials for World population stabilization unlikely this century

A. Raftery, Jennifer Chunn, P. Gerland, 2014 .

Implementing the Current Management Regime for Aboriginal Subsistence Whaling to Establish a Catch L

A. Raftery, G. Givens, J. Zeh, 1995 .

Guest Editor's Introduction to the Special Issue on Causality in the Social Sciences, in Honor of Herbert L. Costner

A. Raftery, 1998 .

Consistency for the tree bootstrap in respondent-driven sampling

A. Raftery, T. McCormick, A. K. B. Green, 2020, Biometrika.

Probabilistic forecasts, calibration and sharpness

A. Raftery, T. Gneiting, F. Balabdaoui, 2007 .

A Framework for Feature Selection in Clustering, Journal of the American Statistical Association, 105, 713―726

A. Raftery, G. Celeux, Cathy Maugis, 2011 .

A continuous multivariate exponential distribution that is multivariate phase type

A. Raftery, C. O'Cinneide, 1989 .

C301. How many nuclear reactor accidents

A. Raftery, E. Thompson, 1988 .

Model‐based clustering for social networks

A. Raftery, M. Handcock, J. Tantrum, 2007 .

Hypothesis testing and model selection

Adrian E. Raftery, A. Raftery, 1996 .

Hypothesis Testing and Model Selection Via Posterior Simulation

Adrian E. Raftery, A. Raftery, 1995 .

Inference for the binomial N parameter: A hierarchical Bayes approach

Adrian E. Raftery, A. Raftery, 1988 .

C351. What is the probability of a serious nuclear reactor accident

A. Raftery, E. Thompson, 1990 .

Use and communication of probabilistic forecasts

Adrian E. Raftery, A. Raftery, 2014, Stat. Anal. Data Min..

Probabilistic forecasts of international bilateral migration flows

A. Raftery, Nathan G. Welch, 2022, Proceedings of the National Academy of Sciences of the United States of America.

Probabilistic population projections with migration uncertainty

Jonathan J. Azose, A. Raftery, H. Sevcikova, 2016, Proceedings of the National Academy of Sciences.

Bayesian Probabilistic Projection of International Migration

Adrian E. Raftery, Jonathan J. Azose, A. Raftery, 2013, Demography.

Paul Deheuvels: Mentor, Advocate for Statistics, and Applied Statistician

A. Raftery, 2015 .

The derivation of diagnostic markers of chronic myeloid leukemia progression from microarray data.

Ka Yee Yeung, Adrian E Raftery, Roger E Bumgarner, 2009, Blood.

Estimating trends in the total fertility rate with uncertainty using imperfect data: Examples from West Africa.

Patrick Gerland, Adrian E Raftery, Samuel J Clark, 2012, Demographic research.

Probabilistic Estimation and Projection of the Annual Total Fertility Rate Accounting for Past Uncertainty: A Major Update of the bayesTFR R Package

A. Raftery, H. Sevcikova, Peiran R. Liu, 2022, 2207.06593.

Accounting for Smoking in Forecasting Mortality and Life Expectancy.

Adrian E Raftery, Yicheng Li, A. Raftery, 2019, The annals of applied statistics.

Modelling HIV epidemics in the antiretroviral era: the UNAIDS Estimation and Projection package 2009

Tim Brown, Patrick Gerland, Adrian E Raftery, 2010, Sexually Transmitted Infections.

bayesPop: Probabilistic Population Projections.

Adrian E Raftery, Hana Ševčíková, A. Raftery, 2016, Journal of statistical software.

Normal Mixture Modelling for Model-Based Clustering,Classification, and Density Estimation

Adrian E. Raftery, Luca Scrucca, Chris Fraley, 2015 .

The mclust R package for clustering, classification and density estimation using Gaussian finite mixture models

Adrian E. Raftery, Thomas Brendan Murphy, Luca Scrucca, 2017 .

[Statistical Methods for Data with Long-Range Dependence]: Comment: Computational Aspects of Fractionally Differenced ARIMA Modeling for Long- Memory Time Series

Adrian E. Raftery, A. Raftery, 1992 .

Non-Gaussian State-Space Modeling of Nonstationary Time Series: Comment: Robustness, Computation, and Non-Euclidean Models

Adrian E. Raftery, R. Douglas Martin, A. Raftery, 1987 .

Inference from a Deterministic Population Dynamics Model for Bowhead Whales

Adrian E. Raftery, Geof H. Givens, Judith Zeh, 1995 .

A proposed stock assessment method and its application to bowhead whales, Balaena mysticetus

A. Raftery, G. Givens, David Poole, 1999 .

RATE OF INCREASE, 1978–1988, OF BOWHEAD WHALES, BALAENA MYSTICETUS, ESTIMATED FROM ICE‐BASED CENSUS DATA

Adrian E. Raftery, Judith Zeh, A. Raftery, 1991 .

Model Selection for Generalized Linear Models via GLIB:Application to Nutrition and Breast Cancer

Adrian E. Raftery, Sylvia Richardson, S. Richardson, 2018, Bayesian Biostatistics.

Journal of the American Statistical Association Reconstructing past Populations with Uncertainty from Fragmentary Data Reconstructing past Populations with Uncertainty from Fragmentary Data

Adrian E. Raftery, Mark C. Wheldon, Samuel J. Clark, 2022 .

Estimating the Total Fertility Rate from Multiple Imperfect Data Sources and Assessing its Uncertainty

Adrian E. Raftery, Samuel J. Clark, Patrick Gerland, 2008 .

Estimating Bowhead Whale Population Size and Rate of Increase from the 1993 Census

Adrian E. Raftery, Judith Zeh, A. Raftery, 1998 .

Assessment of tracking algorithm performance and its effect on population estimates using bowhead whales, Balaena mysticetus, identified visually and acoustically in 1986 off Point Barrow, Alaska

A. Raftery, J. Zeh, Qing Yang, 1990 .

Dynamic Model Averaging in Large Model Spaces Using Dynamic Occam's Window.

Adrian E. Raftery, A. Raftery, Luca Onorante, 2014, European economic review.

The vote Package: Single Transferable Vote and Other Electoral Systems in R pdf

Adrian E. Raftery, Bernard W. Silverman, Hana Sevcikova, 2021, R J..

Estimation of emigration, return migration, and transit migration between all pairs of countries

Adrian E. Raftery, Jonathan J. Azose, A. Raftery, 2018, Proceedings of the National Academy of Sciences.

Comment: Robustness, Computation, and Non-Euclidean Models

Adrian E. Raftery, R. Douglas Martin, A. Raftery, 1987 .

SUBMISSION TO IUSSP IPC 2013 Bayesian Reconstruction of Past Populations and Vital Rates by Age for Developing and Developed Countries

Adrian E. Raftery, Mark C. Wheldon, Samuel J. Clark, 2013 .

Probabilistic quantitative precipitation field forecasting using a two-stage spatial model

Adrian E. Raftery, Tilmann Gneiting, Veronica J. Berrocal, 2008, 0901.3484.

In This Volume

Adrian E. Raftery, A. Raftery, 1997 .

Model-Based Clustering and Classification for Data Science: With Applications in R

Charles Bouveyron, Adrian E. Raftery, Gilles Celeux, 2019 .

Probabilistic Visibility Forecasting Using Bayesian Model Averaging

Adrian E. Raftery, Richard M. Chmielecki, A. Raftery, 2011 .

Estimating SARS-CoV-2 infections from deaths, confirmed cases, tests, and random surveys

Adrian E. Raftery, Nicholas J. Irons, A. Raftery, 2021, Proceedings of the National Academy of Sciences.

Model-based methods of classification

Adrian E. Raftery, Chris Fraley, A. Raftery, 2007 .

Bayesian uncertainty assessment in multicompartment deterministic simulation models for environmental risk assessment

Adrian E. Raftery, Alison C. Cullen, Samantha C Bates, 2003 .

Demand or Ideation? Evidence from the Iranian Marital Fertility Decline

Adrian E. Raftery, A. Raftery, S. Lewis, 1995, Demography.

Probabilistic projections of increased heat stress driven by climate change

A. Raftery, D. Battisti, L. V. Vargas Zeppetello, 2022, Communications Earth & Environment.

Contour models for physical boundaries enclosing star‐shaped and approximately star‐shaped polygons

Hannah M. Director, A. Raftery, 2022, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Long-term probabilistic temperature projections for all locations

A. Raftery, D. Battisti, Xin Chen, 2022, Climate Dynamics.

Space-time Modelling with Long-memory Dependence: Assessing Ireland's Wind Power Resource

A. Raftery, By John HASLETTt, 2018 .

Making the Grade: Educational Stratification in the United States, 1925-1989

A. Raftery, M. Hout, Eleanor O. Bell, 1993 .

Maximally Maintained Inequality: Educational Stratification in Ireland

A. Raftery, M. Hout, 1993 .

Three Types of Gamma-Ray Bursts

A. Raftery, E. Feigelson, F. Murtagh, 1998, astro-ph/9802085.

Comprehensive evidence implies a higher social cost of CO2

Brian C. Prest, Ulrich K. Müller, A. Raftery, 2022, Nature.

Effect of Model Space Priors on Statistical Inference with Model Uncertainty

A. Raftery, Anupreet Porwal, 2022, The New England Journal of Statistics in Data Science.

Bayesian Hyperbolic Multidimensional Scaling

A. Raftery, T. McCormick, Bolun Liu, 2022, ArXiv.

A method for simultaneous variable selection and outlier identification in linear regression

D. Madigan, A. Raftery, J. Hoeting, 1996 .

Bayesian Additive Regression Trees using Bayesian model averaging

Andrew C. Parnell, A. Raftery, B. Hernández, 2017, Statistics and Computing.

Fast automatic unsupervised image segmentation and curve detection in spatial point patterns

Adrian E. Raftery, Derek C. Stanford, A. Raftery, 1999 .

Adaptive Incremental Mixture Markov Chain Monte Carlo

Adrian E. Raftery, Nial Friel, Florian Maire, 2016, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Accounting for Model Uncertainty in Survival Analysis Improves Predictive Performance

Adrian E. Raftery, Chris Volinsky, David Madigan, 1995 .

Prediction under Model Uncertainty Via Dynamic Model Averaging : Application to a Cold Rolling Mill 1

Adrian E. Raftery, Miroslav Kárný, Pavel Ettler, 2008 .

Prediction Rules for Exponential Family State Space Models

A. Raftery, P. Guttorp, G. Grunwald, 1993 .

Recurrence and Ergodicity for Exponential Family State-Space Models

A. Raftery, P. Guttorp, G. Grunwald, 1989 .

A parametric empirical Bayes approach to interval estimation of bowhead whale, Balaena mysticetus, population size

A. E. Raftery, P. Turet, J. E. Zeh, 1988 .

The Social Cost of Carbon: Advances in Long-Term Probabilistic Projections of Population, GDP, Emissions, and Discount Rates

Brian C. Prest, A. Raftery, W. Pizer, 2022, Brookings Papers on Economic Activity.

Probabilistic Forecasts of Arctic Sea Ice Thickness

Hannah M. Director, A. Raftery, C. Bitz, 2021, Journal of Agricultural, Biological and Environmental Statistics.

PROBCAST: A Web-Based Portal to Mesoscale Probabilistic Forecasts

Susan Joslyn, Tilmann Gneiting, Adrian E. Raftery, 2009 .

Two-Stage Bayesian Model Averaging in Endogenous Variable Models

Adrian E Raftery, Alex Lenkoski, A. Raftery, 2012, Econometric reviews.

Bayesian Model Averaging and Endogeneity Under Model Uncertainty: An Application to Development Determinants

Adrian E. Raftery, Alex Lenkoski, Theo S. Eicher, 2009 .

A Reweighting Approach for Sensitivity Analysis within the Bayesian Synthesis Framework for Populati

Adrian E. Raftery, Geof H. Givens, Judith Zeh, 1995 .

Response to Comments by Butterworth and Punt in SC/46/AS2 on the Bayesian Synthesis Approach

Adrian E. Raftery, Geof H. Givens, Judith Zeh, 1995 .

Benefits of a Bayesian Approach for Synthesizing Multiple Sources of Evidence and Uncertainty Linked

Adrian E. Raftery, Geof H. Givens, Judith Zeh, 1993 .

Robust Bayesian Model Selection for Autoregressive Processes with Additive Outliers

Adrian E. Raftery, Nhu D. Le, R. Douglas Martin, 1996 .

Balancing Inferential Integrity and Disclosure Risk Via Model Targeted Masking and Multiple Imputation

Adrian E. Raftery, Bei Jiang, Russell J. Steele, 2021, Journal of the American Statistical Association.

Probabilistic forecasting of the Arctic sea ice edge with contour modeling

Hannah M. Director, A. Raftery, C. Bitz, 2019, 1908.09377.

Improved initialisation of model-based clustering using Gaussian hierarchical partitions

Adrian E. Raftery, Luca Scrucca, A. Raftery, 2015, Adv. Data Anal. Classif..

mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models

Luca Scrucca, Adrian E Raftery, Michael Fop, 2016, R J..

Bayesian Additive Regression Trees using Bayesian model averaging

Adrian E. Raftery, Andrew C. Parnell, Belinda Hernández, 2015, Stat. Comput..

Model-Based Clustering With Data Correction For Removing Artifacts In Gene Expression Data.

Ka Yee Yeung, Adrian E Raftery, William Chad Young, 2016, The annals of applied statistics.

Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering

Adrian E. Raftery, Chris Fraley, A. Raftery, 2007, J. Classif..

Dynamic Logistic Regression and Dynamic Model Averaging for Binary Classification

David Madigan, Tyler H McCormick, Adrian E Raftery, 2012, Biometrics.

Interlocking directorates in Irish companies using a latent space model for bipartite networks

Adrian E Raftery, Nial Friel, Riccardo Rastelli, 2016, Proceedings of the National Academy of Sciences.

mclust Version 4 for R : Normal Mixture Modeling for Model-Based Clustering , Classification , and Density Estimation

Adrian E. Raftery, Chris Fraley, A. Raftery, 2012 .

Enhanced Model-Based Clustering, Density Estimation, and Discriminant Analysis Software: MCLUST

Adrian E. Raftery, Chris Fraley, A. Raftery, 2003, J. Classif..

Integration of multiple data sources for gene network inference using genetic perturbation data

Adrian E. Raftery, Ka Yee Yeung, Ling-Hong Hung, 2017, bioRxiv.

CHANGE POINT AND CHANGE CURVE MODELING IN STOCHASTIC PROCESSES AND SPATIAL STATISTICS

Adrian E. Raftery, A. Raftery, 2007 .

MCLUST Version 3: An R Package for Normal Mixture Modeling and Model-Based Clustering

Adrian E. Raftery, Chris Fraley, A. Raftery, 2006 .

clustvarsel: A Package Implementing Variable Selection for Gaussian Model-Based Clustering in R.

Luca Scrucca, Adrian E Raftery, A. Raftery, 2018, Journal of statistical software.

Incoherent phylogeographic inference

Christian P Robert, Adrian E Raftery, Stephen E Fienberg, 2010, Proceedings of the National Academy of Sciences.

Model Evaluation and Spatial Interpolation by Bayesian Combination of Observations with Outputs from Numerical Models

Montserrat Fuentes, Adrian E Raftery, A. Raftery, 2005, Biometrics.

Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based Clustering.

Gilles Celeux, Adrian E Raftery, Marie-Laure Martin-Magniette, 2013, Journal de la Societe francaise de statistique.

Bayesian robust transformation and variable selection: A unified approach

Raphael Gottardo, Adrian E. Raftery, A. Raftery, 2009 .

Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data

Adrian E. Raftery, Ka Yee Yeung, Roger Eugene Bumgarner, 2005, Bioinform..

Donuts, scratches and blanks: robust model-based segmentation of microarray images

Adrian E. Raftery, Ka Yee Yeung, Qunhua Li, 2005, Bioinform..

Quality Control and Robust Estimation for cDNA Microarrays With Replicates

Raphael Gottardo, Adrian E. Raftery, Ka Yee Yeung, 2006, Journal of the American Statistical Association.

Integrating external biological knowledge in the construction of regulatory networks from time-series expression data

Adrian E. Raftery, Ka Yee Yeung, Jun Zhu, 2012, BMC Systems Biology.

Family Structure, Educational Attainment, and Socioeconomic Success: Rethinking the "Pathology of Matriarchy"1

A. Raftery, Timothy J. Biblarz, 1999, American Journal of Sociology.

BAYESIAN MULTIDIlVIENSIONAL SCALING AND CHOICE OF DIMENSION by Man-SukOh

A. Raftery, 2007 .

Iterative Bayesian Model Averaging: a method for the application of survival analysis to high-dimensional microarray data

Adrian E. Raftery, Ka Yee Yeung, Roger Eugene Bumgarner, 2009, BMC Bioinformatics.

Model Selection for Generalized Linear Models via GLIB, with Application to Epidemiology

Adrian E. Raftery, Sylvia Richardson, S. Richardson, 1993 .

MODEL SELECTION AND ACCOUNTING FOR MODEL UNCERTAINTY IN LINEAR REGRESSION MODELS

Adrian E. Raftery, David Madigan, Jennifer A. Hoeting, 2007 .

Calibrated Probabilistic Forecasting Using Ensemble Model Output Statistics and Minimum CRPS Estimation

Anton H. Westveld, Adrian E. Raftery, Tilmann Gneiting, 2005 .

ABayesian Model Averaging in Proportional Hazard Models: Assessing Stroke Risk

Adrian E. Raftery, David Madigan, Chris Volinsky, 1996 .

Are births underreported in rural China? Manipulation of statistical records in response to China’s population policies

A. Raftery, M. Merli, Merli Mg, 2000, Demography.

Simultaneous Variable and Transformation Selection in Linear Regression

Adrian E. Raftery, David Madigan, Jennifer A. Hoeting, 1995 .

Progress and challenges in modelling country-level HIV/AIDS epidemics: the UNAIDS Estimation and Projection Package 2007

T Brown, A. Raftery, L. Alkema, 2008, Sexually Transmitted Infections.

Statistics In Sociology, 1950–2000: A Selective Review

Adrian E. Raftery, A. Raftery, 2001 .

Discussion of Professor Kingman's Paper

A. Raftery, 1982 .

Weather Forecasting with Ensemble Methods

Adrian E. Raftery, Tilmann Gneiting, A. Raftery, 2005, Science.

Bayesian probabilistic population projections for all countries

Nan Li, Patrick Gerland, Adrian E Raftery, 2012, Proceedings of the National Academy of Sciences.

Probabilistic population forecasting: Short to very long-term

A. Raftery, H. Sevcikova, H. Ševčíková, 2021, International journal of forecasting.

ACCOUNTING FOR UNCERTAINTY ABOUT PAST VALUES IN PROBABILISTIC PROJECTIONS OF THE TOTAL FERTILITY RATE FOR MOST COUNTRIES.

Adrian E. Raftery, Peiran Liu, A. Raftery, 2018, The annals of applied statistics.

Bayesian population reconstruction of female populations for less developed and more developed countries

Mark C. Wheldon, A. Raftery, P. Gerland, 2016, Population studies.

Bayesian Population Projections for the United Nations.

Patrick Gerland, Adrian E Raftery, Leontine Alkema, 2014, Statistical science : a review journal of the Institute of Mathematical Statistics.

Submission to PAA 2012 Estimating Demographic Parameters with Uncertainty from Fragmentary Data

Adrian E. Raftery, Mark C. Wheldon, Samuel J. Clark, 2012 .

Bayesian Reconstruction of Past Populations and Vital Rates by Age for Developing and Developed Countries ∗

Mark C. Wheldon, A. Raftery, S. Clark, 2012 .

Normal uniform mixture differential gene expression detection for cDNA microarrays

Adrian E. Raftery, Nema Dean, A. Raftery, 2005, BMC Bioinformatics.

Probabilistic forecasting of maximum human lifespan by 2100 using Bayesian population projections

A. Raftery, Michael Pearce, 2021, Demographic Research.

Finding Curvilinear Features in Spatial Point Patterns: Principal Curve Clustering with Noise

Adrian E. Raftery, Derek C. Stanford, A. Raftery, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Linear flaw detection in woven textiles using model-based clustering

Adrian E. Raftery, Fionn Murtagh, Chris Fraley, 1997, Pattern Recognit. Lett..

Fitting straight lines to point patterns

Adrian E. Raftery, Fionn Murtagh, A. Raftery, 1984, Pattern Recognit..

Geostatistical Model Averaging for Locally Calibrated Probabilistic Quantitative Precipitation Forecasting

Tilmann Gneiting, Adrian E. Raftery, William Kleiber, 2011 .

Estimating Population Size Using the Network Scale Up Method.

Tyler H McCormick, Adrian E Raftery, Aaron J Baraff, 2013, The annals of applied statistics.

The Future of Migration to Germany

Jonathan J. Azose, A. Raftery, H. Sevcikova, 2020 .

Bayesian Probabilistic Projection of International Migration Rates

Adrian E. Raftery, Jonathan J. Azose, A. Raftery, 2013, 1310.7148.

Combining Mixture Components for Clustering

Gilles Celeux, Jean-Patrick Baudry, Kenneth Lo, 2010, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

ON INFERENCE AND PREDICTION FOR INTEGER-VALUED PARAMETERS by

A. Raftery, PbiUpJ, Smitb, 1988 .

Enhancing the Predictive Performance of BayesianGraphical

Adrian E. Raftery, David Madigan, Denise Draper, 1995 .

Estimating and Projecting Trends in HIV/AIDS Generalized Epidemics Using Incremental Mixture Importance Sampling

Adrian E Raftery, Le Bao, A. Raftery, 2010, Biometrics.

BIC Extensions for Order-constrained Model Selection

Adrian E. Raftery, Joris Mulder, A. Raftery, 2018, Sociological methods & research.

Bayes Factors and BIC: Comment on Weakliem

Adrian E. Raftery, A. Raftery, 1999 .

Country-based rate of emissions reductions should increase by 80% beyond nationally determined contributions to meet the 2 °C target

A. Raftery, Peiran Liu, Peiran R. Liu, 2021, Communications Earth & Environment.

Index of authors, volume 170, 2007

D. Hunter, S. Fienberg, J. Besag, 2007 .

Properties of latent variable network models

Adrian E. Raftery, Nial Friel, Riccardo Rastelli, 2015, Network Science.

Family Structure and Social Mobility

A. Raftery, Timothy J. Biblarz, A. Bucur, 1997 .

The Number of Iterations, Convergence Diagnostics and Generic Metropolis Algorithms

Adrian Raftery, Adrian Raftery, A. Raftery, 1995 .

clustvarsel: A Package Implementing Variable Selection for Model-based Clustering in R

Adrian E. Raftery, Luca Scrucca, A. Raftery, 2014, 1411.0606.

Variable Selection and Updating In Model-Based Discriminant Analysis for High Dimensional Data with Food Authenticity Applications.

A. Raftery, N. Dean, T. B. Murphy, 2009, The annals of applied statistics.

Variable Selection and Updating In Model-Based Discriminant Analysis for High-Dimensional Data 1

Adrian E. Raftery, Thomas Brendan Murphy, Nema Dean, 2008 .

Strategies for Graphical Model Selection

Russell G. Almond, Jeffrey M. Bradshaw, Adrian E. Raftery, 1994 .

Calibrating Multimodel Forecast Ensembles with Exchangeable and Missing Members Using Bayesian Model Averaging

A. Raftery, T. Gneiting, C. Fraley, 2010 .

Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC)

Adrian E. Raftery, Derek C. Stanford, A. Raftery, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Detecting Mines in Minefields With Linear Characteristics

Adrian E. Raftery, Daniel Walsh, A. Raftery, 2002, Technometrics.

Combining Global and Local Grid-Based Bias Correction for Mesoscale Numerical Weather Prediction Models

Adrian E. Raftery, Tilmann Gneiting, Yulia Gel, 2003 .

Combining Spatial Statistical and Ensemble Information in Probabilistic Weather Forecasts

Adrian E. Raftery, Tilmann Gneiting, Veronica J. Berrocal, 2007 .

Latent Position Network Models

A. Raftery, N. Friel, Riccardo Rastelli, 2023, 2304.02979.

Comment: Extending the Latent Position Model for Networks

Adrian E Raftery, A. Raftery, 2017, Journal of the American Statistical Association.

Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models

Adrian E. Raftery, Pavel N. Krivitsky, Mark S. Handcock, 2009, Soc. Networks.

Estimating uncertainty in respondent-driven sampling using a tree bootstrap method

Tyler H McCormick, Adrian E Raftery, Aaron J Baraff, 2016, Proceedings of the National Academy of Sciences.

Accurate and efficient curve detection in images: the importance sampling Hough transform

Adrian E. Raftery, Daniel Walsh, A. Raftery, 2002, Pattern Recognit..

Probabilistic Forecasts , Calibration and Sharpness JRSSB Submission B 6257 Revision 1

Adrian E. Raftery, Tilmann Gneiting, Fadoua Balabdaoui, 2006 .

Modelling national HIV/AIDS epidemics: revised approach in the UNAIDS Estimation and Projection Package 2011

A. Raftery, T. Brown, J. Salomon, 2012, Sexually Transmitted Infections.

Incremental Model-Based Clustering for Large Datasets With Small Clusters

Adrian E. Raftery, Ron Wehrens, Chris Fraley, 2005 .

Bayesian inference for multiband image segmentation via model-based cluster trees

Adrian E. Raftery, Fionn Murtagh, Jean-Luc Starck, 2005, Image Vis. Comput..

Model-Based Clustering for Image Segmentation and Large Datasets via Sampling

Adrian E. Raftery, Lutgarde M. C. Buydens, Chris Fraley, 2004, J. Classif..

Model‐based methods for textile fault detection

Adrian E. Raftery, Fionn Murtagh, Chris Fraley, 1999 .

MCLUST: Software for Model-Based Clustering, Density Estimation and Discriminant Analysis

Adrian E. Raftery, Chris Fraley, A. Raftery, 2002 .

Assessing Uncertainty in Urban Simulations Using Bayesian Melding

Adrian E. Raftery, Paul Waddell, Hana Ševčíková, 2007 .

Ultimate fertility levels: a modied projection method for low fertility countries

A. Raftery, P. Gerland, L. Alkema, 2013 .

Bayesian projection of life expectancy accounting for the HIV/AIDS epidemic

A. Raftery, J. Godwin, 2016, Demographic research.

Assessment of the Bering-Chukchi-Beaufort Seas stock of bowhead whales using the BALEEN II model in a Bayesian synthesis framework

A. Raftery, G. Givens, J. Zeh, 1995 .

Bayes empirical Bayes interval estimation of bowhead whale, Balaena mysticetus, population size based upon the 1986 combined visual and acoustic census off Point Barrow, Alaska

A. E. Raftery, J. E. Zeh, A. Raftery, 1990 .

Population size estimation for the bowhead whale, Balaena mysticetus, based on 1985 visual and acoustic data

A. Raftery, R. Gentleman, J. Zeh, 1988 .

Comment on Martin and Raftery

A. Raftery, R. Martin, 1988 .

Discussion

A. Raftery, Yingye Zheng, 2003 .

CyNetworkBMA: a Cytoscape app for inferring gene regulatory networks

Adrian E. Raftery, Ka Yee Yeung, Maciej Fronczuk, 2015, Source Code for Biology and Medicine.

Predicting relapse prior to transplantation in chronic myeloid leukemia by integrating expert knowledge and expression data

Adrian E. Raftery, Ka Yee Yeung, T. A. Gooley, 2012, Bioinform..

Industrial accidents are produced by social relations of work: a sociological theory of industrial accidents.

T Dwyer, A E Raftery, A. Raftery, 1991, Applied ergonomics.

Online Prediction under Model Uncertainty Via Dynamic Model Averaging: Application to a Cold

A. Raftery, M. Kárný, P. Ettler, 2007 .

Model-Based Clustering and Classification for Data Science

A. Raftery, G. Celeux, C. Bouveyron, 2019 .

Dynamic Model Averaging in Large Model Spaces Using Dynamic Occam's Window.

Adrian E Raftery, Luca Onorante, A. Raftery, 2014, European economic review.

Fast Bayesian inference for gene regulatory networks using ScanBMA

Adrian E. Raftery, Ka Yee Yeung, William Chad Young, 2014, BMC Systems Biology.

On a Proposed Stock Assessment Method and its Application at the International Whaling Commission

A. Raftery, G. Givens, David Poole, 1997 .

Locally Calibrated Probabilistic Temperature Forecasting Using Geostatistical Model Averaging and Local Bayesian Model Averaging

Adrian E. Raftery, Tilmann Gneiting, Jeffrey A. Baars, 2011 .

Identifying dynamical time series model parameters from equilibrium samples, with application to gene regulatory networks

Adrian E. Raftery, Ka Yee Yeung, William Chad Young, 2018, Statistical modelling.

Long-term probabilistic temperature projections for all locations

A. Raftery, D. Battisti, Xin Chen, 2022, Climate Dynamics.

Bayesian melding for estimating uncertainty in national HIV prevalence estimates

A. Raftery, L. Alkema, T. Brown, 2008, Sexually Transmitted Infections.

Estimation and Projection Package 2007 country-level HIV/AIDS epidemics: the UNAIDS Progress and challenges in modelling

A. Raftery, L. Alkema, T. Brown, 2009 .

Easily Computed Marginal Likelihoods from Posterior Simulation Using the THAMES Estimator

A. Raftery, M. Perrot-Dockès, S. Ouadah, 2023, 2305.08952.

Reconstructing Past Populations With Uncertainty From Fragmentary Data

Mark C. Wheldon, A. Raftery, P. Gerland, 2013, Journal of the American Statistical Association.

Uncertain benefits: Application of Bayesian melding to the Alaskan Way Viaduct in Seattle

Adrian E. Raftery, Paul Waddell, Hana Ševčíková, 2011 .

Assessing Uncertainty About the Benets of Transportation Infrastructure Projects Using Bayesian Melding: Application to Seattle's Alaskan Way Viaduct

Adrian E. Raftery, Paul Waddell, A. Raftery, 2009 .

Improved Sea Ice Forecasting through Spatiotemporal Bias Correction

Hannah M. Director, A. Raftery, C. Bitz, 2017 .

Bayesian Model Averaging

Adrian E. Raftery, David Madigan, Chris T. Volinsky, 1998 .

Statistics for the 21st Century

Adrian E. Raftery, Martin T. Wells, Martin A. Tanner, 2001 .

Probabilistic quantitative precipitation field forecasting using a two-stage spatial model

Carol A Wortman, A. Raftery, T. Gneiting, 2008, 0901.3484.

Fast Inference for the Latent Space Network Model Using a Case-Control Approximate Likelihood

A. Raftery, K. Y. Yeung, Xiaoyue Niu, 2001 .

fastBMA: scalable network inference and transitive reduction

Adrian E. Raftery, Ka Yee Yeung, Ling-Hong Hung, 2017, bioRxiv.

Model-Based Clustering and Classification for Data Science

A. Raftery, G. Celeux, C. Bouveyron, 2019 .

On Bayesian analysis of mixtures with an unknown number of components. Discussion. Author's reply

J. Besag, P. Green, S. Richardson, 1997 .

The derivation of diagnostic markers of chronic myeloid leukemia progression from microarray data.

Roger E Bumgarner, A. Raftery, K. Y. Yeung, 2009, Blood.

Bayes factors

A. Raftery, A. Gelman, J. Mortera, 1995 .

The Social Cost of Carbon: Advances in Long-Term Probabilistic Projections of Population, GDP, Emissions, and Discount Rates

Brian C. Prest, A. Raftery, W. Pizer, 2022, Brookings Papers on Economic Activity.

Estimating Large Correlation Matrices for International Migration.

Jonathan J. Azose, A. Raftery, 2016, The annals of applied statistics.

Bayesian Mode Regression

A. Raftery, J. Hoeting, David Madigan, 1997 .

Social mobility measures for cross-national comparisons

A. Raftery, 1985 .

mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models

A. Raftery, T. B. Murphy, L. Scrucca, 2016, R J..

Online Prediction Under Model Uncertainty via Dynamic Model Averaging: Application to a Cold Rolling Mill

A. Raftery, P. Ettler, Miroslav Kárný, 2010, Technometrics.

The Lee–Carter method and probabilistic population forecasts

A. Raftery, 2023, International Journal of Forecasting.

Inaugural Article: Bayesian probabilistic population projections for all countries

A. Raftery, P. Gerland, G. Heilig, 2012 .

Latent Class Analysis Variable Selection

A. Raftery, Nema Dean, 2022 .

clustvarsel: A Package Implementing Variable Selection for Gaussian Model-Based Clustering in R.

A. Raftery, Luca Scrucca, 2014, Journal of statistical software.

Latent class analysis variable selection

A. Raftery, Nema Dean, 2010, Annals of the Institute of Statistical Mathematics.

Will this be a record‐breaking century for human longevity?

A. Raftery, Michael Pearce, 2021, Significance.

Probabilistic Projection of Subnational Life Expectancy

A. Raftery, H. Ševčíková, 2021, Journal of Official Statistics.

Use and communication of probabilistic forecasts

A. Raftery, 2014, Stat. Anal. Data Min..

Bayesian Probabilistic Projections of Life Expectancy for All Countries

A. Raftery, P. Gerland, J. Chunn, 2022 .

Prediction under Model Uncertainty Via Dynamic Model Averaging : Application to a Cold Rolling Mill 1

A. Raftery, 2007 .

Bayesian Additive Regression Trees using Bayesian model averaging

A. Raftery, S. Pennington, A. Parnell, 2015, Statistics and Computing.

Bayesian Model Averaging methods and R package for gene network construction

Adrian E. Raftery, Ka Yee Yeung, Chris Fraley, 2016 .

Index of authors, volume 171, 2008

A. Raftery, O. Papaspiliopoulos, K. Kalogeropoulos, 2008 .

Determining the Number of Colors or Gray Levels in an Image Using Approximate Bayes Factors: The Pseudolikelihood Information Criterion (PLIC)

Adrian E. Raftery, Derek C. Stanford, A. Raftery, 2001 .

Long-Run Performance of Bayesian Model Averaging

A. Raftery, Yingye Zheng, 2003 .

Bayesian Analysis of Event History Models with Unobserved Heterogeneity via Markov Chain Monte Carlo

A. Raftery, S. Lewis, 1999 .

of Event History Models With Unobserved Heterogeneity via Markov Chain Monte Carlo Application to the Explanation of Fertility Decline

A. Raftery, S. Lewis, 1999 .

Probabilistic Projections of the Total Fertility Rate for All Countries

A. Raftery, P. Gerland, L. Alkema, 2011, Demography.

Reply to the Discussion of Space-Time Modelling with Long-Memory Dependence: Assessing Ireland's Wind Resource

A. Raftery, John Haslett, 1988 .

Classification of : NIixtures of Spatial Point Processes via Partial Bayes Factors

A. Raftery, D. Walsh, Box, 2003 .

Enhancing the Predictive Performance of Bayesian Graphical Models

A. Raftery, J. Gavrin, David Madigan, 2007 .

REJOINDER: MODEL SELECTION IS UNAVOIDABLE IN SOCIAL RESEARCH

Adrian E. Raftery, A. Raftery, 1995 .

Fast Bayesian inference for gene regulatory networks using ScanBMA

A. Raftery, K. Y. Yeung, W. C. Young, 2014, BMC Systems Biology.

Bayesian reconstruction of two‐sex populations by age: estimating sex ratios at birth and sex ratios of mortality

Mark C. Wheldon, A. Raftery, P. Gerland, 2013, Journal of the Royal Statistical Society. Series A,.

Multiple Imputation of Hierarchical Nonlinear Time Series Data with an Application to School Enrollment Data

A. Raftery, Daphne H. Liu, 2024, 2401.01872.

Volume 48 Index

A. Raftery, P. Gerland, S. Clark, 2011, Demography.

Comment on "Gaps and Glissandos..."

A. Raftery, 1983 .

Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data

Roger E Bumgarner, A. Raftery, K. Y. Yeung, 2005, Bioinform..

Bayesian Estimation and Segmentation of Spatial Point Processes using Voronoi Tilings.

A. Raftery, S. Byers, 1999 .

Normal uniform mixture differential gene expression detection for cDNA microarrays

A. Raftery, Nema Dean, 2005, BMC Bioinformatics.

A posterior probability approach for gene regulatory network inference in genetic perturbation data.

Ka Yee Yeung, Adrian E Raftery, William Chad Young, 2016, Mathematical biosciences and engineering : MBE.

Uncovering gene regulatory relationships using networkBMA

A. Raftery, K. Y. Yeung, C. Fraley, 2013 .

Asymptotic inference for a change-point Poisson process

Adrian E. Raftery, A. Raftery, V. Akman, 1986 .

Probabilistic Projections of the Total Fertility Rate for All Countries

A. Raftery, P. Gerland, L. Alkema, 2010 .