M. Peruggia

发表

Was it a car or a cat I saw? An Analysis of Response Times for Word Recognition

M. Peruggia, T. Zandt, Meng Chen, 2002 .

Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (2nd ed.)

M. Peruggia, 2003 .

Total Least Squares and Errors-in-Variables Modeling: Analysis, Algorithms and Applications

M. Peruggia, 2003 .

Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data

M. Peruggia, 2003 .

Case-deletion importance sampling estimators: Central limit theorems and related results

S. MacEachern, M. Peruggia, I. Epifani, 2008, 0807.0725.

Benchmark Estimation for Markov chain Monte Carlo Samples

S. MacEachern, M. Peruggia, Subharup Guha, 2004 .

Importance Link Function Estimation for Markov Chain Monte Carlo Methods

Mario Peruggia, Steven N. MacEachern, S. MacEachern, 2000 .

Detecting stage-wise outliers in hierarchical Bayesian linear models of repeated measures data

T. Santner, M. Peruggia, Y-Y. Ho, 2004 .

Cognitive Function and Behavior of Children With Adenotonsillar Hypertrophy Suspected of Having Obstructive Sleep-Disordered Breathing

Mario Peruggia, Michael L. Johnson, P. Suratt, 2006, Pediatrics.

Subsampling the Gibbs sampler: variance reduction

Mario Peruggia, Steven N. MacEachern, S. MacEachern, 2000 .

Discussion on the paper by Kong, McCullagh, Meng, Nicolae and Tan

S. MacEachern, J. Robins, Y. Ritov, 2003 .

Benchmark Estimation for Markov Chain

S. MacEachern, M. Peruggia, Subharup Guha, 2016 .

Inferences on lung cancer mortality rates based on reference priors under partial ordering

Michael D. Sonksen, M. Peruggia, M. Sonksen, 2014 .

Cartesian displays of many interval estimates

J. Hsu, M. Peruggia, Yifan Huang, 2013 .

Bayesian Synthesis

S. MacEachern, M. Peruggia, Qingzhao Yu, 2007 .

Spatio-temporal Rainfall Processes : Stochastic Models and Data Analysis

M. Peruggia, K. Sahr, R. Kahn, 2003 .

Reconciling Curvature and Importance Sampling Based Procedures for Summarizing Case Influence in Bayesian Models

S. MacEachern, M. Peruggia, Z. Thomas, 2018, Journal of the American Statistical Association.

The Analysis of Gene Expression Data: Methods and Software

M. Peruggia, 2004 .

PILOT TRIAL OF DILTIAZEM IN FACIOSCAPULOHUMERAL MUSCULAR DYSTROPHY

M. Peruggia, W. King, J. Kissel, 2007, Neurology.

High plasma growth hormone (GH) levels inhibit expression of GH secretagogue receptor messenger ribonucleic acid levels in the rat pituitary.

M. Peruggia, R. Day, M. Thorner, 2000, Endocrinology.

Mutual interference in working memory updating: A hierarchical Bayesian model

M. Peruggia, T. Van Zandt, Yiyang Chen, 2022, Journal of Mathematical Psychology.

Rediscovering a little known fact about the t-test and the F-test: Algebraic, Geometric, Distributional and Graphical Considerations

S. MacEachern, M. Peruggia, J. Sinnott, 2019, 1907.08703.

Rediscovering a little known fact about the t-test: algebraic, geometric, distributional and graphical considerations

S. MacEachern, M. Peruggia, J. Sinnott, 2019, 1907.08703.

Graphical Representations of Tukey's Multiple Comparison Method

Mario Peruggia, Jason C. Hsu, J. Hsu, 1994 .

Statistical inference with anchored Bayesian mixture of regressions models: A case study analysis of allometric data

Mario Peruggia, Deborah Kunkel, M. Peruggia, 2019, 1905.04389.

A Hierarchical Bayesian Analysis of Circular Data with Autoregressive Errors: Modeling the Mechanical Properties of Cortical Bone

T. Santner, M. Peruggia, N. McMillan, 1994 .

Bayesian model diagnostics based on artificial autoregressive errors

Mario Peruggia, M. Peruggia, 2007 .

On the variability of case-deletion importance sampling weights in the Bayesian linear model

Mario Peruggia, M. Peruggia, 1997 .

Clustered Bayesian Model Averaging

Qingzhao Yu, Mario Peruggia, Steven N. MacEachern, 2013 .

Empirical Bayes Model Averaging with Influential Observations: Tuning Zellner’s g Prior for Predictive Robustness

Chris Hans, M. Peruggia, Junyan Wang, 2021, Econometrics and Statistics.

Reference priors for constrained rate models of count data

Mario Peruggia, Michael D. Sonksen, M. Peruggia, 2012 .

Hierarchical Hidden Markov Models for Response Time Data

P. Craigmile, M. Peruggia, T. Van Zandt, 2020, Computational Brain & Behavior.

Hierarchical Hidden Markov Models for Response Time Data

Peter F. Craigmile, Mario Peruggia, Zhifei Yan, 2020, Computational Brain & Behavior.

A Bayesian race model for response times under cyclic stimulus discriminability

Peter F. Craigmile, Mario Peruggia, Trisha Van Zandt, 2019, The Annals of Applied Statistics.

A Bayesian Race Model for Recognition Memory

Peter F. Craigmile, Mario Peruggia, Sungmin Kim, 2017 .

A Bayesian hierarchical model for response time data providing evidence for criteria changes over time

Peter F. Craigmile, Mario Peruggia, T. Van Zandt, 2013 .

Hierarchical Bayes Models for Response Time Data

Peter F. Craigmile, Mario Peruggia, Trisha Van Zandt, 2010 .

Empirical likelihood for the analysis of experimental designs

S. MacEachern, M. Peruggia, Eunseop Kim, 2021, Journal of Nonparametric Statistics.

Vestibular Stimulation for ADHD

M. Peruggia, R. Bornstein, L. E. Arnold, 2008, Journal of attention disorders.

Bayesian Tools for EDA and Model Building: A Brainy Study

Mario Peruggia, Steven N. MacEachern, S. MacEachern, 2002 .

Understanding Motivation with the Progressive Ratio Task: a Hierarchical Bayesian Model

M. Peruggia, T. Van Zandt, Yiyang Chen, 2022, Computational Brain & Behavior.

Understanding Motivation with the Progressive Ratio Task: a Hierarchical Bayesian Model

M. Peruggia, T. Van Zandt, Yiyang Chen, 2022, Computational Brain & Behavior.

melt: Multiple Empirical Likelihood Tests in R

S. MacEachern, M. Peruggia, Eunseop Kim, 2024, J. Stat. Softw..

Familial inference: Tests for hypotheses on a family of centres

Catherine S. Forbes, S. MacEachern, M. Peruggia, 2022, Biometrika.

A model for predicting motor urge urinary incontinence.

M. Peruggia, W. Steers, J. Patrie, 2001, Nursing research.

Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (2nd ed.)

M. Peruggia, 2003 .

Bayesian Synthesis: Combining subjective analyses, with an application to ozone data

Qingzhao Yu, Mario Peruggia, Steven N. MacEachern, 2011, 1107.5935.

Suspected of Having Obstructive Sleep-Disordered Breathing Cognitive Function and Behavior of Children With Adenotonsillar Hypertrophy

Michael L. Johnson, P. Suratt, M. Peruggia, 2006 .