J. Gill

发表

Penalized regression, standard errors, and Bayesian lassos

G. Casella, Minjung Kyung, J. Gill, 2010 .

Generalized Linear Models: A Unified Approach

J. Gill, Silvia Michelle Torres Pacheco, 2000 .

Hierarchical Linear Models

J. Gill, 2005 .

Characterizing the variance improvement in linear Dirichlet random effects models

G. Casella, Minjung Kyung, J. Gill, 2009 .

Nonparametric Priors for Ordinal Bayesian Social Science Models: Specification and Estimation

G. Casella, J. Gill, 2009 .

The Insignificance of Null Hypothesis Significance Testing

J. Gill, 1999 .

An entropy measure of uncertainty in vote choice

J. Gill, 2005 .

1 NOTE This vignette is based on: “accuracy: Tools for Accurate and Reliable Statistical Computing ” by

Michael P. McDonald, J. Gill, Micah Atman, 2007 .

Interactions in Generalized Linear Models: Theoretical Issues and an Application to Personal Vote-Earning Attributes

J. Gill, Tsung-han Tsai, 2013 .

Is Partial-Dimension Convergence a Problem for MCMC Algorithms?

J. Gill, 2005 .

Elicited Priors for Bayesian Model Specifications in Political Science Research

Jeff Gill, Lee Demetrius Walker, J. Gill, 2005 .

Measuring State and District Ideology with Spatial Realignment

James E. Monogan, J. Gill, 2015, Political Science Research and Methods.

Public Administration Research and Practice: A Methodological Manifesto

Kenneth J. Meier, Jeff Gill, J. Gill, 2000 .

Sampling Schemes for Generalized Linear Dirichlet Random Effects Models

G. Casella, Minjung Kyung, J. Gill, 2009 .

Solidary and Functional Costs: Explaining the Presidential Appointment Contradiction

J. Gill, R. Waterman, 2004 .

Dynamic Tempered Transitions for Exploring Multimodal Posterior Distributions

George Casella, Jeff Gill, G. Casella, 2004, Political Analysis.

WINNING IN THE WEST

J. Gill, 1989 .

The Political Entropy of Vote Choice: An Empirical Test of Uncertainty Reduction

J. Gill, 1997 .

The Zen and the Practice: Some Final Remarks

J. Gill, K. Meier, 2018 .

Voting, elections, and statistical science

G. Casella, J. Gill, 2002 .

Wiley Series in Probability and Statistics

Michael P. McDonald, J. Gill, Micah Altman, 2003 .

Applied Geospatial Bayesian Modeling in the Big Data Era: Challenges and Solutions

J. Gill, Jason S. Byers, 2022, Mathematics.

Data and Code to Accompany Generalized Linear Models, 2nd Edition [R package GLMpack version 0.1.0]

Jeff Gill, Simon Heuberger, Michelle Torres, 2019 .

New findings from terrorism data: Dirichlet process random‐effects models for latent groups

George Casella, Jeff Gill, Minjung Kyung, 2011 .

Discussion of “Estimating the historical and future probabilities of large terrorist events” by Aaron Clauset and Ryan Woodard

J. Gill, 2013, 1401.2308.

Bayesian Modeling and Inference: A Postmodern Perspective

Jeff Gill, Simon Heuberger, J. Gill, 2020 .

Comments from the New Editor

Jeff Gill, J. Gill, 2018, Political Analysis.

Substantively Weighted Analytical Techniques for Successes and Failures: SWLS and GSRLS 1

Kenneth J. Meier, Jeff Gill, J. Gill, 2018 .

Some Details of Nonlinear Estimation

Micah Altman, Jeff Gill, Michael P. McDonald, 2004 .

Circular Data in Political Science, Seminar on Bayesian Inference in Econometrics and Statistics, April 2, 2009, Saint Louis, USA

Jeff Gill, Dominik Hangartner, J. Gill, 2009 .

Bayesian Methods: A Social and Behavioral Sciences Approach, Second Edition

Jeff Gill, Jeff Gill, J. Gill, 2007 .

Recommendations for Replication and Accurate Analysis

Micah Altman, Jeff Gill, Michael P. McDonald, 2004 .

A Comparison of the Numerical Properties of EI Methods

Micah Altman, Gary King, Jeff Gill, 2004 .

What are Bayesian Methods

Jeff Gill, J. Gill, John Molitor, 2008 .

The Exponential Family

Jeff Gill, J. Gill, 2001 .

We Have to Be Discrete About This: A Non-Parametric Imputation Technique for Missing Categorical Data

Jeff Gill, Skyler J. Cranmer, J. Gill, 2012, British Journal of Political Science.

Introduction: Consequences of Numerical Inaccuracy

Micah Altman, Jeff Gill, Michael P. McDonald, 2004 .

Convergence Problems in Logistic Regression

Micah Altman, Paul D. Allison, Jeff Gill, 2004 .

Introduction — Get Sorted!

Will Medd, Jeff Gill, J. Gill, 2015 .

An MCMC Diagnostic for Purely Discrete Parameters

Jeff Gill, Skyler J. Cranmer, Dominik Hangartner, 2011 .

Some Markov Chain Monte Carlo Theory

Jeff Gill, J. Gill, 2014 .

Rejoinder to the discussion of “Sampling schemes for generalized linear Dirichlet process random effects models”

George Casella, Jeff Gill, Minjung Kyung, 2011, Stat. Methods Appl..

Numerical Issues in Statistical Computing for the Social Scientist

Micah Altman, Jeff Gill, Michael P. McDonald, 2003 .

Circular Data in Political Science and How to Handle It

Jeff Gill, Dominik Hangartner, J. Gill, 2010, Political Analysis.

Dynamic elicited priors for updating covert networks

Jeff Gill, John R. Freeman, John R. Freeman, 2013, Network Science.

Is Partial-Dimension Convergence a Problem for Inferences from MCMC Algorithms?

J. Gill, 2007, Political Analysis.

Bayesian Inference in Public Administration Research: Substantive Differences from Somewhat Different Assumptions

Jeff Gill, Kevin M. Wagner, J. Gill, 2005 .

Introduction to the Special Issue

J. Gill, 2004, Political Analysis.

Sampling schemes for generalized linear Dirichlet process random effects models

George Casella, Jeff Gill, Minjung Kyung, 2011, Stat. Methods Appl..

Modeling Latent Information in Voting Data with Dirichlet Process Priors

Richard Traunmüller, Jeff Gill, Andreas Murr, 2015, Political Analysis.

Bayesian Methods in Political Science: Introduction to the Virtual Issue

J. Gill, 2012, Political Analysis.

Computing quantities of interest and their uncertainty using Bayesian simulation

J. Gill, A. Murr, Richard Traunmüller, 2022, Political Science Research and Methods.

Bayesian Analytical Methods: A Methodological Prescription for Public Administration

Jeff Gill, Christopher Witko, J. Gill, 2013 .

What is Entropy?

J. Gill, John C. Baez, 2024, 2409.09232.

Missing value imputation for physical activity data measured by accelerometer

Jeff Gill, Jung Ae Lee, J. Gill, 2018, Statistical methods in medical research.

The Multilevel Model Framework

Jeff Gill, Andrew Womack, J. Gill, 2013 .

Bayesian Methods : A Social and Behavioral Sciences Approach

Jeff Gill, J. Gill, 2002 .

Why does voting get so complicated ? : a review of theories for analyzing democratic participation

Jason Gainous, Jeff Gill, J. Gill, 2016 .

Estimation in Dirichlet random effects models

George Casella, Jeff Gill, Minjung Kyung, 2010, 1002.4756.

Congressional Tightwads and Spendthrifts: Measuring Fiscal Behavior in the Changing House of Representatives

J. Gill, J. Thurber, 1999 .

Whose Variance Is It Anyway? Interpreting Empirical Models with State-Level Data

Jeff Gill, J. Gill, 2001, State Politics & Policy Quarterly.

Ralph's Pretty-Good Grocery versus Ralph's Super Market: Separating Excellent Agencies from the Good Ones

J. Gill, K. Meier, 2001 .

accuracy: Tools for Accurate and Reliable Statistical Computing

Micah Altman, Michael P. McDonald, Jeff Gill, 2007 .

What to Do When Your Hessian is Not Invertible

Gary King, Jeff Gill, J. Gill, 2004 .

The Effects of Turnout on Partisan Outcomes in U.S. Presidential Elections 1960–2000

Michael D. Martinez, J. Gill, 2005, The Journal of Politics.

Critical Differences in Bayesian and Non‐Bayesian Inference and why the Former is Better

Jeff Gill, J. Gill, 2010 .

Does Turnout Decline Matter? Electoral Turnout and Partisan Choice in the 1997 Canadian Federal Election

Michael D. Martinez, J. Gill, 2006, Canadian Journal of Political Science.

Essential Mathematics for Political and Social Research

J. Gill, 2006 .

superdiag: A Comprehensive Test Suite for Markov Chain Non-Convergence

蔡宗漢, J. Gill, Tsung-han Tsai, 2012 .

Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

J. Gill, 2008 .

The Etiology of Public Support for the Designated Hitter Rule

J. Gill, Christopher Zorn, 2007 .

Why does voting get so complicated? : a review of theories for analyzing democratic participation

J. Gill, Jason Gainous, 2019 .

Comments on Single-Blind Reviewing from the Editorial Staff

J. Gill, Betsy Sinclair, L. Atkeson, 2018, Political Analysis.

Formal Models of Legislative/Administrative Interaction: A Survey of the Subfield

J. Gill, 1995 .

Bayesian Methods : A Social and Behavioral Sciences Approach

J. Gill, 2002 .

Measuring Constituency Ideology Using Bayesian Universal Kriging

J. Gill, 2020, State Politics & Policy Quarterly.