Andrew Gelman

发表

Data Analysis Using Regression and Multilevel/Hierarchical Models: Multilevel logistic regression

Andrew Gelman, Jennifer Hill, 2006 .

Bayesian Model-Building By Pure Thought: Some Principles and Examples

Andrew Gelman, A. Gelman, 1994 .

The Prior Can Often Only Be Understood in the Context of the Likelihood

Andrew Gelman, Daniel Simpson, Michael Betancourt, 2017, Entropy.

Modeling accounting for data collection

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Manipulating and summarizing posterior simulations using random variable objects

Andrew Gelman, Jouni Kerman, A. Gelman, 2007, Stat. Comput..

Automatic Variational Inference in Stan

Andrew Gelman, David M. Blei, Rajesh Ranganath, 2015, NIPS.

Visualization in Bayesian workflow

Aki Vehtari, Andrew Gelman, Jonah Gabry, 2017, Journal of the Royal Statistical Society: Series A (Statistics in Society).

General methods for monitoring convergence of iterative simulations

Andrew Gelman, Stephen P. Brooks, A. Gelman, 1998 .

Editorial: A Catch-22 in Assigning Primary Delegates

Howard Wainer, Andrew Gelman, Andrew Gelman, 2007 .

Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data

Aki Vehtari, Andrew Gelman, John P. Cunningham, 2014, J. Mach. Learn. Res..

Multiple Imputation for Continuous and Categorical Data: Comparing Joint Multivariate Normal and Conditional Approaches

Andrew Gelman, Jennifer Hill, Ben Goodrich, 2014, Political Analysis.

Introduction to Bayesian computation

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Weighted Classical Variogram Estimation for Data With Clustering

Andrew Gelman, Cavan Reilly, A. Gelman, 2007, Technometrics.

Fully Bayesian Computing

Andrew Gelman, Jouni Kerman, 2004 .

Applied Bayesian Modeling And Causal Inference From Incomplete-Data Perspectives

Andrew Gelman, Meng Xiaoli, A. Gelman, 2005 .

Bayesian Nonparametric Weighted Sampling Inference

Yajuan Si, Andrew Gelman, Natesh S. Pillai, 2013, 1309.1799.

Strength under pressure/A world without statistics

Andrew Gelman, Katherine Hartman, Hermann Habermann, 2014 .

Bayesian probabilistic extensions of a deterministic classification model

Iven Van Mechelen, Andrew Gelman, Iwin Leenen, 2000, Comput. Stat..

Stan: A Probabilistic Programming Language.

Jiqiang Guo, Andrew Gelman, Daniel Lee, 2017, Journal of statistical software.

Bayesian computation for multilevel models: some new methods with applications

Andrew Gelman, Zaiying Huang, 2004 .

Using Stacking to Average Bayesian Predictive Distributions (with Discussion)

Aki Vehtari, Andrew Gelman, Daniel Simpson, 2017, Bayesian Analysis.

Commentary - Discussion of the Article "Website Morphing"

Andrew Gelman, 2009, Mark. Sci..

A knowledge extraction mobile-computer system for local decision making

Andrew Gelman, Matilde Trevisani, J. Shen, 2008 .

Data Analysis Using Regression and Multilevel/Hierarchical Models: Simulation for checking statistical procedures and model fits

Andrew Gelman, Jennifer Hill, 2006 .

Connections and challenges

Hal S. Stern, Andrew Gelman, Donald B. Rubin, 1995 .

Asymptotics and connections to non-Bayesian approaches

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Bootstrap averaging: Examples where it works and where it doesn't work

Aki Vehtari, Andrew Gelman, 2014 .

Some computational and modeling issues for hierarchical models

Andrew Gelman, 2009 .

Handbook of Markov Chain Monte Carlo

Andrew Gelman, Xiao-Li Meng, Galin L. Jones, 2011 .

Bayesian Statistics Then and Now

Andrew Gelman, A. Gelman, 2010, 1012.1423.

Statistical Graphics for Survey Weights

Yajuan Si, Andrew Gelman, Susanna Makela, 2014 .

Petascale Hierarchical Modeling VIA Parallel Execution

Andrew Gelman, 2014 .

Models for robust inference

David B. Dunson, Aki Vehtari, Hal S. Stern, 1995 .

Introducing the StataStan Interface for Fast, Complex Bayesian Modeling Using Stan

Bob Carpenter, Andrew Gelman, Robert L. Grant, 2017 .

Inference from Simulations and Monitoring Convergence

Andrew Gelman, Kenneth E. Shirley, Kenneth Shirley, 2011 .

The Mythical Swing Voter pdf

Andrew Gelman, Sharad Goel, David Rothschild, 2014, ArXiv.

Model Checking and Model Improvment (chapter for Gilks, Richardson, and Spiegelhalter Book)

Andrew Gelman, Xiao-Li Meng, Xiao-Li Meng, 2007 .

A Fast Linear Regression via SVD and Marginalization pdf

Andrew Gelman, Aki Vehtari, Philip Greengard, 2020, ArXiv.

In praise of the referee pdf

Christian P. Robert, Andrew Gelman, Kerrie L. Mengersen, 2012, ArXiv.

The illusion of power: How the statistical significance filter leads to overconfident expectations of replicability

Andrew Gelman, Shravan Vasishth, A. Gelman, 2017 .

Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors

Aki Vehtari, Andrew Gelman, Yuling Yao, 2020 .

Probabilistic feature analysis of facial perception of emotions

Iven Van Mechelen, Andrew Gelman, Michel Meulders, 2005 .

Let's Practice What We Preach

Andrew Gelman, Rahul Dodhia, Cristian Pasarica, 2002 .

Data Analysis Using Regression and Multilevel/Hierarchical Models: Six quick tips to improve your regression modeling

Andrew Gelman, Jennifer Hill, 2006 .

Bayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models

Andrew Gelman, Iain Pardoe, A. Gelman, 2006, Technometrics.

Learning About Networks Using Sampling: Discussion of “Adaptive and Network Sampling for Inference and Interventions in Changing Populations” by Steven K. Thompson

Andrew Gelman, A. Gelman, 2017 .

An integrated framework for bayesian graphical modeling, inference, and prediction

Andrew Gelman, Jouni Kerman, 2006 .

Comment: Anova as a Tool for Structuring and Understanding Hierarchical Models

Andrew Gelman, A. Gelman, 2005 .

Overview of computation

Hal S. Stern, Andrew Gelman, Donald B. Rubin, 1995 .

Models for missing data

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Validating Bayesian Inference Algorithms with Simulation-Based Calibration

Aki Vehtari, Andrew Gelman, Daniel Simpson, 2018, 1804.06788.

Erratum to: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

Aki Vehtari, Andrew Gelman, Jonah Gabry, 2017, Stat. Comput..

Visualization in Bayesian Data Analysis

Tian Zheng, Andrew Gelman, Jouni Kerman, 2008 .

R2WinBUGS: A Package for Running WinBUGS from R

Andrew Gelman, Uwe Ligges, Sibylle Sturtz, 2005 .

Graphical Visualization of Polling Results

Yajuan Si, Andrew Gelman, Susanna Makela, 2018 .

Limitations of “Limitations of Bayesian Leave-one-out Cross-Validation for Model Selection”

Aki Vehtari, Andrew Gelman, Yuling Yao, 2018, Computational Brain & Behavior.

Diculty of selecting among multilevel models using predictive accuracy

Andrew Gelman, Wang Wei, A. Gelman, 2015 .

Simulation-efficient shortest probability intervals

Ying Liu, Tian Zheng, Andrew Gelman, 2013, Stat. Comput..

Hierarchical linear models

David B. Dunson, Aki Vehtari, Hal S. Stern, 1995 .

Yes, but Did It Work?: Evaluating Variational Inference

Aki Vehtari, Andrew Gelman, Daniel Simpson, 2018, ICML.

Sampling for Bayesian Computation with Large Datasets

Andrew Gelman, Zaiying Huang, A. Gelman, 2005 .

Centralized Analysis of Local Data, with Dollars and Lives on the Line: Lessons from the Home Radon Experience

Andrew Gelman, Phillip N. Price, A. Gelman, 2014, Computational Social Science.

Causal inference using more advanced models

Andrew Gelman, Jennifer Hill, 2006 .

Computationally efficient Markov chain simulation

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo

Andrew Gelman, Matthew D. Hoffman, A. Gelman, 2011, J. Mach. Learn. Res..

Bayesian hierarchical weighting adjustment and survey inference

Yajuan Si, Andrew Gelman, Rob Trangucci, 2017, 1707.08220.

Data Analysis Using Regression and Multilevel/Hierarchical Models: Model checking and comparison

Andrew Gelman, Jennifer Hill, 2006 .

Multilevel (Hierarchical) Modeling: What It Can and Cannot Do

Andrew Gelman, A. Gelman, 2006, Technometrics.

Data Analysis Using Regression and Multilevel/Hierarchical Models: Linear regression: the basics

Andrew Gelman, Jennifer Hill, 2006 .

Handbook of Markov Chain Monte Carlo: Hardcover: 619 pages Publisher: Chapman and Hall/CRC Press (first edition, May 2011) Language: English ISBN-10: 1420079417

Andrew Gelman, Xiao-Li Meng, Galin L. Jones, 2012 .

Posterior predictive checking and generalized graphical models

Andrew Gelman, 2009 .

Bayesian selection and testing of latent class models

Andrew Gelman, Johannes Berkhof, I Van Mechelen, 1999 .

From data collection to model understanding to model checking

Andrew Gelman, Jennifer Hill, 2006 .

Understanding predictive information criteria for Bayesian models

Aki Vehtari, Andrew Gelman, Jessica Hwang, 2013, Statistics and Computing.

Bayesian Data Analysis

David B. Dunson, Aki Vehtari, Hal S. Stern, 2010 .

A Bayesian approach to the selection and testing of mixture models

Iven Van Mechelen, Andrew Gelman, Johannes Berkhof, 2003 .

Introduction to multiparameter models

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

FRM: An Intelligent Assistant for Financial Resource Management

Andrew Gelman, Bruce G. Buchanan, Thomas C. Rindfleisch, 1986, AAAI.

Special topics in computation

Hal S. Stern, Andrew Gelman, Donald B. Rubin, 1995 .

Time-reversal heuristic

Andrew Gelman, Don van Ravenzwaaij, Rink Hoekstra, 2016 .

Gaussian process models

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Basics of Markov chain simulation

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Fitting Bayesian item response models in Stata and Stan

Bob Carpenter, Andrew Gelman, Robert L. Grant, 2016, 1601.03443.

A Safe Depth Forecasting Model for Insuring Tubewell Installations Against Arsenic Risk in Bangladesh

Matilde Trevisani, Andrew Gelman, Alexander van Geen, 2017, ICCSA.

Bayesian Checking of the Second Levels of Hierarchical Models. Comment..

Andrew Gelman, 2007 .

Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

Aki Vehtari, Andrew Gelman, Jonah Gabry, 2015, Statistics and Computing.

MCMC in Educational Research

Andrew Gelman, Steve Brooks, Xiao-Li Meng, 2011 .

Estimating Incumbency Advantage and Its Variation, as an Example of a Before–After Study

Andrew Gelman, Zaiying Huang, A. Gelman, 2008 .

Automatic Differentiation Variational Inference

Dustin Tran, Andrew Gelman, David M. Blei, 2016, J. Mach. Learn. Res..

Simulation-based optimal design of experiments

Andrew Gelman, Frédéric Y. Bois, Thomas J. Smith, 2000 .

Why We (Usually) Don't Have to Worry About Multiple Comparisons

Andrew Gelman, Jennifer Hill, Masanao Yajima, 2009, 0907.2478.

and Monitoring Convergence

Andrew Gelman, Kenneth Shirley, 2011 .