Current students and postdocs:

• Maria Grazia Pittau (postdoc, economics and statistics)

  • A flexible program for missing-data imputation and model checking.

  • A default prior distribution for Bayesian logistic regression.

• Aleks Jakulin (postdoc, computer science and statistics)

  • Bayesian assay analysis.

  • Interaction and taxonomy models.

  • A default prior distribution for Bayesian logistic regression.

• Kobi Abayomi (Ph.D. student, statistics)

  • Diagnostics for multivariate imputations.

• Erwann Rogard (Ph.D. student, statistics)

  • Evaluation of multilevel decision trees. {\em Journal of Statistical Planning and Inference}.

• Shouhao Zhao (Ph.D. student, statistics)

  • Hierarchical models for time series of public opinion.

  • Evaluating the fit and predictive error of hierarchical models with interactions.

• Lucy Robinson (Ph.D. student, statistics)

  • Parental characteristics and sex ratios.

• Chia-hui Huang (Ph.D. student, statistics)

  • Computing highest posterior density intervals.

• Yu-Sung Su (Ph.D. student, political science)

  • Computation for regression and multilevel models.

• John Kastellec (Ph.D. student, political science)

  • Seeking 50% of Seats, Needing More than 50% of Votes: Predicting the Seats-Votes Curve in the 2006 Elections.

• Jamie Chandler (Ph.D. student, political science)

  • Seeking 50% of Seats, Needing More than 50% of Votes: Predicting the Seats-Votes Curve in the 2006 Elections.

• Jeronimo Cortina (Ph.D. student, political science)

  • Income and vote choice in the 2000 Mexican presidential election.

• Matt Salganik (Ph.D. student, sociology)

  • [2006] How many people do you know in prison?": using overdispersion in count data to estimate social structure in networks. {\em Journal of the American Statistical Association}.

Former students and postdocs:

• Jie Shen (M.A. student, statistics)

  • Arsenic in drinking water in Bangladesh.

• Cexun Jeffrey Cai (M.A. student, quantitative methods in social science)

  • Should the Democrats move to the left on economic policy?

• Jouni Kerman (Ph.D. student, statistics)

  • Fully Bayesian computing.

• Michael Shnaidman (Ph.D. student, statistics)

  • [2004] Bayesian analysis of serial dilution assays. {\em Biometrics}.

• Joseph Bafumi (Ph.D. student, political science)

  • [2004] Bayesian multilevel estimation with poststratification: state-level estimates from national polls. {\em Political Analysis}.

  • [2004] Standard voting power indexes don't work: an empirical analysis. {\em British Journal of Political Science}.

  • Practical issues in implementing and understanding Bayesian ideal point estimation. {\em Political Analysis}.

  • What does "Do campaigns matter?" mean?

• Noah Kaplan (Ph.D. student, political science)

  • Practical issues in implementing and understanding Bayesian ideal point estimation. {\em Political Analysis}.

  • Voting as a rational choice: why and how people vote to improve the well-being of others. {\em Rationality and Society}.

• David Park (Ph.D. student, political science)

  • [2004] Bayesian multilevel estimation with poststratification: state-level estimates from national polls. {\em Political Analysis}.

  • [2001] Models, assumptions, and model checking in ecological regressions. {\em Journal of the Royal Statistical Society A} {\bf 164}, 101--118.

  • [2004] Practical issues in implementing and understanding Bayesian ideal point estimation. {\em Political Analysis}.

  • What does "Do campaigns matter?" mean?

• Yves Chretien (B.A. student, statistics)

  • Modeling missing data in death penalty reversals.

• Alex Kiss (Ph.D. student, biostatistics)

  • [2004] A broken system: the persistent pattern of reversals of death sentences in the United States. {\em Journal of Empirical Legal Studies}.

  • [2007] An analysis of the NYPD's stop-and-frisk policy in the context of claims of racial bias.

• Matilde Trevisani (postdoc, statistics)

  • [2004] Direct data manipulation for local decision analysis, as applied to the problem of arsenic in drinking water from tube wells in Bangladesh. {\em Risk Analysis}.

• Zaiying Huang (Ph.D. student, statistics)

  • [2007] Estimating incumbency advantage and its variation, as an example of a before/after study (with discussion). {\em Journal of the American Statistical Association}.

  • Transformed and parameter-expanded Gibbs samplers for multilevel linear and generalized linear models.

  • Sampling for Bayesian computation with large datasets.

• Cristian Pasarica (Ph.D. student and postdoc, statistics)

  • [2002] Let's practice what we preach: turning tables into graphs. {\em The American Statistician} {\bf 56}, 121--130.

  • Adaptively scaling the Metropolis algorithm using the average squared jumped distance.

• Matt Stevens (Ph.D. student, political science)

  • [2003] Regression models for decision making: a cost-benefit analysis of incentives in telephone surveys. {\em Journal of Business and Economic Statistics}.

• Hao Lu (Ph.D. student, statistics)

  • [2004] Direct data manipulation for local decision analysis, as applied to the problem of arsenic in drinking water from tube wells in Bangladesh. {\em Risk Analysis}.

  • [2003] Sampling variances for surveys with weighting, poststratification, and raking. {\em Journal of Official Statistics}.

  • Evaluation of multilevel decision trees. {\em Journal of Statistical Planning and Inference}.

• Rahul Dodhia (Ph.D. student, psychology)

  • [2002] Let's practice what we preach: turning tables into graphs. {\em The American Statistician} {\bf 56}, 121--130.

• Francis Tuerlinckx (Ph.D. student and postdoc, psychology)

  • [2002] The mathematics and statistics of voting power. {\em Statistical Science} {\bf 17}, 420--435.

  • [2000] Type S error rates for classical and Bayesian single and multiple comparison procedures. {\em Computational Statistics} {\bf 15}, 373--390.

  • [2000] Diagnostic checks for discrete-data regression models using posterior predictive simulations. {\em Applied Statistics} {\bf 49}, 247--268.

• Cavan Reilly (Ph.D. student, statistics)

  • [2004] Using image and curve registration for measuring the goodness of fit of spatial and temporal predictions. {\em Biometrics}.

  • [2001] Post-stratification without population level information on the post-stratifying variable, with application to political polling. {\em Journal of the American Statistical Association} {\bf 96}, 1--11.

  • [2006] Weighted classical variogram estimation for data with clustering. {\em Technometrics}.

• Valerie Chan (Ph.D. student, statistics)

  • [2003] Regression models for decision making: a cost-benefit analysis of incentives in telephone surveys. {\em Journal of Business and Economic Statistics}.

• Iwin Leenen (Ph.D. student, psychology)

  • [2000] Bayesian probabilistic extensions of a deterministic classification model. {\em Computational Statistics}, {\bf 15}, 355--371.

  • Bayesian hierarchical classes analysis.

  • Bridges between deterministic and probabilistic models for binary data.

• Michel Meulders (Ph.D. student, psychology)

  • [2004] Multiple imputation for model checking: completed-data plots with missing and latent data. {\em Biometrics}.

  • [2001] Bayesian inference with probability matrix decomposition models). {\em Journal of Educational and Behavioral Statistics} {\bf 26}, 153--179.

  • [1998] Generalizing the probability matrix decomposition model: an example of Bayesian model checking and model expansion. In {\em Assumptions, Robustness, and Estimation Methods in Multivariate Modeling}, ed.\ J. Hox.

  • [2005] Probabilistic feature analysis of facial perception of emotions.

• Chia-yu Lin (Ph.D. student, biostatistics)

  • [2000] A method for quantifying artifacts in mapping methods, illustrated by application to headbanging. {\em Statistics in Medicine} {\bf 19}, 2309--2320.

  • [1999] Analysis of local decisions using hierarchical modeling, applied to home radon measurement and remediation (with discussion). {\em Statistical Science}, {\bf 14}, 305--337.

• Tom Little (Ph.D. student, statistics)

  • [1998] Improving upon probability weighting for household size. {\em Public Opinion Quarterly} {\bf 62}, 398--404.

  • [1998] Modeling differential nonresponse in sample surveys. {\em Sankhya} {\bf 60}, 101--126.

  • [1997] Poststratification into many categories using hierarchical logistic regression. {\em Survey Methodology} {\bf 23}, 127--135.

• John Boscardin (Ph.D. student, statistics)

  • [1998] Estimating the probability of events that have never occurred: When is your vote decisive? {\em Journal of the American Statistical Association} {\bf 93}, 1--9.

  • [1996] Bayesian regression with parametric models for heteroscedasticity. {\em Advances in Econometrics} {\bf 11}, A87--109.

• Jiming Jiang (Ph.D. student, statistics)

  • [1996] Physiological pharmacokinetic analysis using population modeling and informative prior distributions. {\em Journal of the American Statistical Association} {\bf 91}, 1400--1412.

  • [1996] Population toxicokinetics of tetrachloroethylene. {\em Archives of Toxicology} {\bf 70}, 347--355.