Jeff Gill
Campus Box 1063
One Brookings Drive
St. Louis, MO 63130-4899
Jeff Gill. Professor, Washington University. (BA UCLA, MBA Georgetown, Ph.D. American University, Post-Doc Harvard). Major areas of research and interest are [Methodology and Statistics] Bayesian approaches, Markov chain Monte Carlo, queueing theory, nonparametrics, missing data, generalized linear model theory, model selection, circular data, and general problems in statistical computing; [Epidemiology] mental health outcomes for children exposed to war, foot-and-mouth disease, containment policy,and measurement/data issues; [Medicine] pediatric traumatic brain injury, linkages between obesity and cancer (including human energetics and mouse models), models of Warfarin dosage, psychiatric trauma, physiological effects of stress; [Political Science] voting, terrorism, Scottish politics, expert elicitation, bureaucracy. He is the author of "Essential Mathematics for Political and Social Research," with Cambridge University Press. and is the author of five other books including the forthcoming second edition of "Bayesian Methods for the Social and Behavioral Sciences"(Chapman & Hall/CRC), which is the leading Bayesian text for these disciplines. His journal work has appeared in the Lancet-Neurology, Journal of Politics, Electoral Studies, Statistical Science, Political Research Quarterly, Quarterly Journal of Political Science, Sociological Methods and Research, Public Administration Review, Journal of Public Administration Research and Theory, Annals of Statistics, JASA, Journal of Statistical Software, Political Analysis, and elsewhere.
Selected Publications
Books and Monographs
Jeff Gill. Bayesian Methods: A Social and Behavioral Sciences Approach. Second Edition, in the Statistics in the Social and Behavioral Sciences Series. 2007, Chapman and Hall/CRC.
Jeff Gill. Essential Mathematics for Political and Social Research. 2006, Cambridge University Press.
Refereed Journal Articles
Skyler Cranmer and Jeff Gill. “We Have to Be Discrete About This: A Non-Parametric Imputation Technique for Missing Categorical Data.” British Journal of Political Science , Forthcoming (2012).
Jose A. Pineda, MD, Jeffrey R. Leonard, MD, Ioanna G. Mazotas, MD, Michael Noetzel, MD, David D. Limbrick, MD, Martin S. Keller, MD, Jeff Gill, PhD, and Allan Doctor, MD (primary authors: Jose Pineda, Jeff Gill, Allan Doctor). “Effect of Implementation of a Paediatric Neurocritical Care Pro- gramme On Outcomes After Severe Traumatic Brain Injury: A Cohort Study.” Lancet–Neurology, 12:1, 45-52 (2013).
Minjung Kyung, Jeff Gill and George Casella. “New Findings from Terrorism Data: Dirichlet Process Random Effects Models for Latent Groups.” Journal of the Royal Statistical Society, Series C , 60:5, 701-271 (2011).
Minjung Kyung, Jeff Gill and George Casella. “Sampling Schemes for Generalized Linear Dirichlet Process Random Effects Models.” With Discussion and Rejoinder. Statistical Methods and Applications , Forthcoming (2011).
Minjung Kyung, Jeff Gill, Malay Ghosh, and George Casella. “Penalized Regression, Standard Errors, and Bayesian Lassos.” Bayesian Analysis, 5, 369-412 (2010).
Minjung Kyung, Jeff Gill and George Casella. “Estimation in Dirichlet Random Effects Models.” Annals of Statistics, 38, 979-1009 (2010).
Minjung Kyung, Jeff Gill and George Casella. “Characterizing the Variance Improvement in Linear Dirichlet Random Effects Models.” Statistics and Probability Letters, 79, 2343- 2350, (2009).
Jeff Gill and George Casella. “Nonparametric Priors For Ordinal Bayesian Social Science Models: Specification and Estimation.” Journal of the American Statistical Associ- ation, 104, 453-464 (June 2009).
Awards
The 2009 Gosnell Prize, for the best work in political methodology presented at any political science conference in the preceding year, for “Dynamic Elicited Priors for Updating Covert Networks,” with John Freeman.
Fellow of the Society for Political Methodology, Elected 2008.