Alan E. Gelfand

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Ensemble Modeling: Inference from Small Scale Properties to Large Scale Systems

Alan E. Gelfand, Crayton C. Walker, 1984 .

Managing Complex Systems: An Application of Ensemble Methods in System Theory

Alan E. Gelfand, Crayton C. Walker, 1978 .

Spatial interaction models with individual-level data for explaining labor flows and developing local labor markets

M. Pilar Alonso, Asuncion Beamonte, Pilar Gargallo, 2013, Comput. Stat. Data Anal..

Suppression and failures in sensor networks: a Bayesian approach

Kamesh Munagala, Jun Yang, Adam Silberstein, 2007, VLDB 2007.

From Data Reverence to Data Relevance: Model-Mediated Wireless Sensing of the Physical Environment

Kamesh Munagala, Pankaj K. Agarwal, Jun Yang, 2007, International Conference on Computational Science.

Spatial Prediction of House Prices Using LPR and Bayesian Smoothing

Hyon-Jung Kim, Alan E. Gelfand, John M. Clapp, 2001 .

Bayesian Methods and ModelingBased in part on the article “Bayesian methods and modeling” by Alan E. Gelfand, which appeared in the Encyclopedia of Environmetrics.

Alan E. Gelfand, 2013 .

A data fusion approach for spatial analysis of speciated PM2.5 across time

Alan E. Gelfand, David M. Holland, Colin W. Rundel, 2015 .

Quantifying uncertainty for temperature maps derived from computer models

Alan E. Gelfand, Daniela Cocchi, Lucia Paci, 2015 .

Modeling Spatio-Temporally Misaligned Areal and Point Process Environmental Data

Bradley P. Carlin, Alan E. Gelfand, Andrew S. Mugglin, 2002 .

Joint Temporal Point Pattern Models for Proximate Species Occurrence in a Fixed Area Using Camera Trap Data

Alan E. Gelfand, Roland Kays, James S. Clark, 2018, Journal of Agricultural, Biological and Environmental Statistics.

Prediction and model comparison for areal unit data

Alan E. Gelfand, Philip J. White, Theresa L. Utlaut, 2017 .

Hierarchical Spatio-Temporal Mapping of Disease Rates

Bradley P. Carlin, Alan E. Gelfand, Hong Xia, 1997 .

Spatial statistics and Gaussian processes: A beautiful marriage

Alan E. Gelfand, Erin M. Schliep, A. Gelfand, 2016 .

Model choice: A minimum posterior predictive loss approach

Alan E. Gelfand, Sujit Kumar Ghosh, A. Gelfand, 1998, AISTATS.

Approximate Bayesian inference for a spatial point process model exhibiting regularity and random aggregation

Alan E. Gelfand, Ninna Vihrs, Jesper Moller, 2020 .

Analyzing the Decision-Making Process of the American Jury

Alan E. Gelfand, Herbert Solomon, A. Gelfand, 1975 .

Subgraph Approximations for Directed Graphical Models

Alan E. Gelfand, Constantin T. Yiannoutsos, 1994 .

Velocities for spatio-temporal point patterns

Alan E. Gelfand, Erin M. Schliep, A. Gelfand, 2019, Spatial Statistics.

Bayesian Inference for Hard Problems Using the Gibbs Sampler

Bradley P. Carlin, Alan E. Gelfand, 1992 .

A Simple Bayesian Procedure for Estimation in a Conjoint Model

Philippe Cattin, Alan E. Gelfand, Jeffrey E. Danes, 1983 .

Using spatial gradient analysis to clarify species distributions with application to South African protea

Alan E. Gelfand, Maria A. Terres, A. Gelfand, 2015, J. Geogr. Syst..

Preferential sampling for presence/absence data and for fusion of presence/absence data with presence‐only data

Alan E. Gelfand, Shinichiro Shirota, 2019 .

Advanced algorithms for distributed fusion

Alan E. Gelfand, Chris Smith, T. Huynh, 2008, SPIE Defense + Commercial Sensing.

Spatio-Temporal Modeling of Residential Sales Data

Alan E. Gelfand, Sujit K. Ghosh, John R. Knight, 1998 .

Model-Driven Dynamic Control of Embedded Wireless Sensor Networks

Kamesh Munagala, Pankaj K. Agarwal, Jun Yang, 2006, International Conference on Computational Science.

Multivariate Spatial Modeling for Geostatistical Data Using Convolved Covariance Functions

Alan E. Gelfand, Anandamayee Majumdar, A. Gelfand, 2007 .

Hierarchical Spatio-Temporal Modeling of Resting State fMRI Data

Alan E. Gelfand, Andrea Sottosanti, Tommaso Rigon, 2017 .

Bayesian Methods and Modeling

Alan E. Gelfand, 2006 .

Approximately optimal spatial design approaches for environmental health data

Alan E. Gelfand, Marie Lynn Miranda, Gangqiang Xia, 2006 .

Chapter 5. Special Topics in Point Pattern Analysis

Alan E. Gelfand, Erin M. Schliep, 2018 .

Model Determination using sampling-based methods

Alan E. Gelfand, A. Gelfand, 1996 .

Hierarchical regression with misaligned spatial data: relating ambient ozone and pediatric asthma ER visits in Atlanta

Bradley P. Carlin, Alan E. Gelfand, Li Zhu, 2003 .

Special topics in spatial process modeling

Bradley P. Carlin, Alan E. Gelfand, Sw. Banerjee, 2003 .

ENSEt1BLE ~lETHODS IN SYSTEM THEORY

Alan E. Gelfand, Crayton C. Walker, A. Gelfand, 1978 .

Multivariate functional data modeling with time-varying clustering

Alan E. Gelfand, Philip A. White, A. Gelfand, 2019, TEST.

Bayesian Decision Theoretic Design for Group Sequential Medical Trials having Multivariate Patient R

Alan E. Gelfand, Pantelis K. Vlachos, A. Gelfand, 1996 .

Markov-modulated Marked Poisson Processes for Check-in Data

Vinayak A. Rao, Pankaj K. Agarwal, Alan E. Gelfand, 2016, ICML.

Archaeology, Statistics in—I

Alan E. Gelfand, A. Gelfand, 2006 .

Marginalized deviances for assessing the number of hierarchical stages and aligning multilevel models.

Alan E. Gelfand, Matilde Trevisani, 2000 .

A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models

Fei Wang, Alan E. Gelfand, A. Gelfand, 2002 .

Point pattern modelling for degraded presence‐only data over large regions

Avishek Chakraborty, Alan E. Gelfand, Adam M. Wilson, 2011 .

Bayesian statistics without tears: A sampling-resampling perspective

Alan E. Gelfand, Adrian F. M. Smith, Adrian F. M. Smith, 1992 .

Bayesian Modeling and Inference for Geometrically Anisotropic Spatial Data

Alan E. Gelfand, Mark D. Ecker, A. Gelfand, 1999 .

A system theoretic approach to the management of complex organizations: Management by consensus level and its interaction with other management strategies

Alan E. Gelfand, Crayton C. Walker, 1980 .

Slice sampling for simulation based fitting of spatial data models

Deepak K. Agarwal, Alan E. Gelfand, A. Gelfand, 2005, Stat. Comput..

Quantifying uncertainty associated with a numerical model output

Alan E. Gelfand, Daniela Cocchi, Lucia Paci, 2014 .

The nested dirichlet process/comment/comment/comment/comment/comment/rejoinder

David B. Dunson, Alan E. Gelfand, Abel Rodriguez, 2008 .

Tropical deforestation in Madagascar: analysis using hierarchical, spatially explicit, Bayesian regression models

Deepak K. Agarwal, Alan E. Gelfand, Robert E. Dewar, 2005 .

Basics of areal data models

Bradley P. Carlin, Alan E. Gelfand, Sudipto Banerjee, 2003 .

Model fitting and inference under latent equilibrium processes

Kent E. Holsinger, Sourabh Bhattacharya, Alan E. Gelfand, 2007, Stat. Comput..

Scaling up: linking field data and remote sensing with a hierarchical model

Alan E. Gelfand, John A. Silander, Adam M. Wilson, 2011, Int. J. Geogr. Inf. Sci..

A New Nonmetric Conjoint Method: Some Preliminary Results

Philippe Cattin, Alan E. Gelfand, A. Gelfand, 1986 .

Supplemental Materials to Hierarchical Modeling and Analysis for Spatial Data, 2nd Edition

Bradley P. Carlin, Alan E. Gelfand, Sudipto Banerjee, 2018 .

Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes

Alan E. Gelfand, Andrew O. Finley, Sudipto Banerjee, 2012, J. Geogr. Syst..

SPATIAL NONPARAMETRIC BAYESIAN MODELS

Alan E. Gelfand, Athanasios Kottas, Steven N. MacEachern, 2001 .

Spatial process modelling for univariate and multivariate dynamic spatial data

Alan E. Gelfand, Dani Gamerman, Sw. Banerjee, 2005 .

Misaligned Spatial Data: The Change of Support Problem

Alan E. Gelfand, A. Gelfand, 2010 .

Bayesian analysis of concurrent time series with application to regional IBM revenue data

Nalini Ravishanker, Alan E. Gelfand, Jeffrey Pai, 2009 .

Fully Model-Based Approaches for Spatially Misaligned Data

Bradley P. Carlin, Alan E. Gelfand, Andrew S. Mugglin, 2000 .

Bayesian ComputationBased in part on the article “Bayesian computation” by Alan Gelfand, which appeared in the Encyclopedia of Environmetrics.

Alan E. Gelfand, 2013 .

Spatial Misalignment Models for Small Area Estimation: A Simulation Study

Alan E. Gelfand, Matilde Trevisani, A. Gelfand, 2013 .

Spatial Modeling of House Prices Using Normalized Distance-Weighted Sums of Stationary Processes

Alan E. Gelfand, John R. Knight, C. F. Sirmans, 2004 .

Spatio-temporal circular models with non-separable covariance structure

Alan E. Gelfand, Gianluca Mastrantonio, Giovanna Jona Lasinio, 2015, TEST.

Guest Editorial: Spatial and spatio-temporal modeling in environmental and ecological statistics

Alan E. Gelfand, 2007, Environmental and Ecological Statistics.

Assessing the joint behaviour of species traits as filtered by environment

Matthew E. Aiello-Lammens, Alan E. Gelfand, John A. Silander, 2017 .

Overview of spatial data problems

Bradley P. Carlin, Alan E. Gelfand, Sw. Banerjee, 2003 .

Model Determination Using Predictive Distributions with Implementation via Sampling-Based Methods

Hong Chang, Dipak K. Dey, Alan E. Gelfand, 1992 .

Management Strategies in fixed-Structure Models of Complex Organizations II

Alan E. Gelfand, Crayton C. Walker, A. Gelfand, 1977 .

Hierarchical Bayes Models for the Progression of HIV Infection Using Longitudinal CD4 T-Cell Numbers: Rejoinder

Bradley P. Carlin, Alan E. Gelfand, Nicholas Lange, 1992 .

Simulation Based Model Checking for Hierarchical Models

Dipak K. Dey, Tim B. Swartz, Alan E. Gelfand, 2004 .

A system theoretic approach to the management of complex organizations: Management by exception, priority, and input span in a class of fixed‐structure models

Alan E. Gelfand, Crayton C. Walker, 1979 .

Discussion on “Spatial prediction in the presence of positional error”

Alan E. Gelfand, Sw. Banerjee, 2011 .

Generalized Evolutionary Point Processes: Model Specifications and Model Comparison.

Alan E. Gelfand, Philip A. White, 2019 .

Proportional hazards models: a latent competing risk approach

Alan E. Gelfand, Stephen B. Soumerai, Cindy L. Christiansen, 2000 .

Nonparametric Bayesian Group Sequential Design

Alan E. Gelfand, Pantelis K. Vlachos, 1998 .

Multilevel modeling using spatial processes: Application to the Singapore housing market

Alan E. Gelfand, Sudipto Banerjee, C. F. Sirmans, 2007, Comput. Stat. Data Anal..

A simulation-intensive approach for checking hierarchical models

Dipak K. Dey, Tim B. Swartz, Alan E. Gelfand, 1998 .

Spatial Joint Species Distribution Modeling using Dirichlet Processes

Alan E. Gelfand, Sudipto Banerjee, Shinichiro Shirota, 2017, 1711.05646.

Subgraph Approximations for Large Directed Graphical Models

Alan E. Gelfand, Constantin T. Yiannoutsos, 1993 .

Zero-inflated Beta distribution regression modeling

Alan E. Gelfand, Becky Tang, Henry A Frye, 2021 .

The role of odds ratios in joint species distribution modeling

Alan E. Gelfand, Shinichiro Shirota, A. Gelfand, 2021, Environmental and Ecological Statistics.

Spatial modeling of day-within-year temperature time series: an examination of daily maximum temperatures in Arag\'on, Spain

Alan E. Gelfand, Jorge Castillo-Mateo, Miguel Lafuente, 2022 .

Spatial Functional Data Modeling of Plant Reflectances

Alan E. Gelfand, John A. Silander, Philip A. White, 2021 .

Modeling spatially biased citizen science effort through the eBird database

Alan E. Gelfand, James S. Clark, Becky Tang, 2021, Environmental and Ecological Statistics.

Continuous Spatial Process Models for Spatial Extreme Values

Alan E. Gelfand, Huiyan Sang, A. Gelfand, 2010 .

Improved Estimation of a Patterned Covariance Matrix

Dipak K. Dey, Alan E. Gelfand, A. Gelfand, 1989 .

Semiparametric errors-in-variables models A Bayesian approach

Bani K. Mallick, Alan E. Gelfand, A. Gelfand, 1996 .

Space and circular time log Gaussian Cox processes with application to crime event data

Alan E. Gelfand, Shinichiro Shirota, A. Gelfand, 2016, 1611.08719.

Spatial Regression Modeling for Compositional Data With Many Zeros

Alan E. Gelfand, John A. Silander, Thomas J. Leininger, 2013 .

Generalized linear models with unknown link functions

Bani K. Mallick, Alan E. Gelfand, A. Gelfand, 1994 .

Accommodating so many zeros: univariate and multivariate data

Alan E. Gelfand, James S. Clark, 2017 .

Predicting Spatial Patterns of House Prices Using LPR and Bayesian Smoothing

Alan E. Gelfand, John M. Clapp, A. Gelfand, 2002 .

A Study of Poisson's Models for Jury Verdicts in Criminal and Civil Trials

Alan E. Gelfand, Herbert Solomon, A. Gelfand, 1973 .

Multivariate spatial modeling

Bradley P. Carlin, Alan E. Gelfand, Sw. Banerjee, 2003 .

Nonparametric Bayesian Modeling for Stochastic Order

Alan E. Gelfand, Athanasios Kottas, 2001 .

Spatial Regression Using Kernel Averaged Predictors

Alan E. Gelfand, Matthew J. Heaton, A. Gelfand, 2011 .

THE DISTRIBUTION OF CYCLE LENGTHS IN A CLASS OF ABSTRACT SYSTEMS

Alan E. Gelfand, Crayton C. Walker, 1977 .

Bayesian nonparametric modeling for functional analysis of variance

Alan E. Gelfand, XuanLong Nguyen, 2014 .

Discussion on the paper by Spiegelhalter, Best, Carlin and van der Linde

Aki Vehtari, Christian P. Robert, Matilde Trevisani, 2002 .

A Sample Reuse Method for Accurate Parametric Empirical Bayes Confidence Intervals

Bradley P. Carlin, Alan E. Gelfand, A. Gelfand, 1991 .

Modeling Jury Verdicts in the American Legal System

Alan E. Gelfand, Herbert Solomon, A. Gelfand, 1974 .

On smoothness properties of spatial processes

Alan E. Gelfand, A. Gelfand, Sudipto Banerjee, 2003 .

Scaling Integral Projection Models for Analyzing Size Demography

Alan E. Gelfand, Souparno Ghosh, James S. Clark, 2013, 1312.7260.

Gradients in Spatial Response Surfaces With Application to Urban Land Values

Alan E. Gelfand, Anandamayee Majumdar, C. F. Sirmans, 2006 .

Zero-inflated models with application to spatial count data

Alan E. Gelfand, A. Gelfand, S. Citron-Pousty, 2002, Environmental and Ecological Statistics.

INTERPRETING SELF-ORGANIZING MAPS THROUGH SPACE-TIME DATA MODELS

Alan E. Gelfand, Huiyan Sang, Bruce Hewitson, 2008, 0901.3494.

Inference for the maximum cell probability under multinomial sampling

Alan E. Gelfand, J. Glaz, A. Gelfand, 1992 .

Broken Biological Size Relationships: A Truncated Semiparametric Regression Approach with Measurement Error

Bani K. Mallick, Alan E. Gelfand, Wolfgang Polasek, 1997 .

Approaches for Empirical Bayes Confidence Intervals

Bradley P. Carlin, Alan E. Gelfand, A. Gelfand, 1990 .

Inference for log Gaussian Cox processes using an approximate marginal posterior

Alan E. Gelfand, Shinichiro Shirota, A. Gelfand, 2016, 1611.10359.

Hierarchical spatial modeling for estimation of population size

Alan E. Gelfand, Jarrett J. Barber, A. Gelfand, 2007, Environmental and Ecological Statistics.

Latent Stick-Breaking Processes

David B. Dunson, Alan E. Gelfand, Abel Rodríguez, 2010, Journal of the American Statistical Association.

A Simulation-Intensive Approach for CheckingHierarchical

Alan E. Gelfand, Pantelis K. Vlachos, ModelsDipak, 1998 .

Bayesian wombling: finding rapid change in spatial maps

Alan E. Gelfand, Sw. Banerjee, 2015 .

The Indian Statistical Institute

Alan E. Gelfand, 1933, Nature.

On the calibration of Bayesian model choice criteria

Alan E. Gelfand, Pantelis K. Vlachos, A. Gelfand, 2003 .

Hierarchical modeling for extreme values observed over space and time

Alan E. Gelfand, Huiyan Sang, A. Gelfand, 2009, Environmental and Ecological Statistics.

Modeling Space-Time Data Using Stochastic Differential Equations

Alan E. Gelfand, Jason A. Duan, C. F. Sirmans, 2009 .

Data from: Assessing the joint behavior of species traits as filtered by environment

Matthew E. Aiello-Lammens, Alan E. Gelfand, John A. Silander, 2017 .

Joint Species Distribution Modeling: Dimension Reduction Using Dirichlet Processes

Alan E. Gelfand, Daniel Taylor-Rodriguez, James S. Clark, 2017 .

The Dirichlet labeling process for clustering functional data

Alan E. Gelfand, XuanLong Nguyen, A. Gelfand, 2011 .

Seriation Methods for Archaeological Materials

Alan E. Gelfand, A. Gelfand, 1971, American Antiquity.

A behavioral summary for completely random nets

Alan E. Gelfand, 1982 .

Approximate Bayesian Computation and Model Validation for Repulsive Spatial Point Processes

Alan E. Gelfand, Shinichiro Shirota, A. Gelfand, 2016 .

Overdispersed Generalized Linear Models

Dipak K. Dey, Alan E. Gelfand, Fengchun Peng, 1997 .

Stationary Process Approximation for the Analysis of Large Spatial Datasets

Alan E. Gelfand, Gangqiang Xia, A. Gelfand, 2005 .

On Covariate Importance for Regression Models with Multivariate Response

Jenný Brynjarsdóttir, Alan E. Gelfand, A. Gelfand, 2014 .

Parametric likelihood inference for record breaking problems

Bradley P. Carlin, Alan E. Gelfand, A. Gelfand, 1993 .

An iterative Monte Carlo method for nonconjugate Bayesian analysis

Bradley P. Carlin, Alan E. Gelfand, A. Gelfand, 1991 .

A Computational Approach for Full Nonparametric Bayesian Inference Under Dirichlet Process Mixture Models

Alan E. Gelfand, Athanasios Kottas, A. Gelfand, 2002 .

Modeling Variability Order: A Semiparametric Bayesian Approach

Alan E. Gelfand, Athanasios Kottas, A. Gelfand, 2001 .

Analyzing Real Estate Data Problems Using the Gibbs Sampler

Alan E. Gelfand, C. F. Sirmans, Sujit K. Ghosh, 1998 .

Estimation for Dirichlet mixed models

Alan E. Gelfand, A. Gelfand, Steve Leeds, 1989 .

Attaching uncertainty to deterministic spatial interpolations

Alan E. Gelfand, Souparno Ghosh, Thomas Mølhave, 2012 .

On the Effect of Jury Size: Rejoinder

Alan E. Gelfand, Herbert Solomon, 1977 .

Modeling change in forest biomass across the eastern US

Kai Zhu, Alan E. Gelfand, James S. Clark, 2016, Environmental and Ecological Statistics.

Process modeling for soil moisture using sensor network data

Paul G. Flikkema, Alan E. Gelfand, Souparno Ghosh, 2014 .

Spatial Design for Knot Selection in Knot-Based Dimension Reduction Models

Alan E. Gelfand, Andrew O. Finley, Sudipto Banerjee, 2012 .

Investigating tropical deforestation using two-stage spatially misaligned regression models

Deepak K. Agarwal, Alan E. Gelfand, John A. Silander, 2002 .

The wrapped skew Gaussian process for analyzing spatio-temporal data

Alan E. Gelfand, Gianluca Mastrantonio, Giovanna Jona Lasinio, 2016, Stochastic Environmental Research and Risk Assessment.

Hierarchical Bayes Models for the Progression of HIV Infection Using Longitudinal CD4+ Counts.

Bradley P. Carlin, Alan E. Gelfand, Nicholas Lange, 1992 .

Bivariate spatial process modeling for constructing indicator or intensity weighted spatial CDFs

Bradley P. Carlin, Alan E. Gelfand, A. Gelfand, 2005 .

Assessing exceedance of ozone standards: a space‐time downscaler for fourth highest ozone concentrations

Alan E. Gelfand, David M. Holland, Veronica J. Berrocal, 2014 .

Bayesian Semiparametric Regression for Median Residual Life

Alan E. Gelfand, Athanasios Kottas, A. Gelfand, 2003 .

Conditional categorical response models with application to treatment of acute myocardial infarction

Alan E. Gelfand, Stephen B. Soumerai, Cindy L. Christiansen, 2000 .

Socioeconomics drive woody invasive plant richness in New England, USA through forest fragmentation

Alan E. Gelfand, John A. Silander, Daniel L. Civco, 2013, Landscape Ecology.

Quantifying threats to biodiversity from invasive alien plants and other factors: a case study from the Cape Floristic Region

Alan E. Gelfand, John A. Silander, David M. Richardson, 2004 .

Geostatistical modelling for spatial interaction data with application to postal service performance

Alan E. Gelfand, Sudipto Banerjee, Wolfgang Polasek, 2000 .

A Note on Overdispersed Exponential Families

Alan E. Gelfand, S. R. Dalal, A. Gelfand, 1990 .

Hybrid Dirichlet processes for functional data.

Alan E. Gelfand, Michele Guindani, Sonia Petrone, 2007 .

Spatial process gradients and their use in sensitivity analysis for environmental processes

Alan E. Gelfand, Maria A. Terres, A. Gelfand, 2015, 1503.08357.