• Bayesian generalized linear models and an appropriate default prior (Presented at the useR conference, Dortmund, 2008)

• Should the Democrats move left on economic policy? (Presented at the Joint Statistical Meetings, Denver, 2008)

• Teaching statistics (Presented at the Association for Psychological Science meeting, Chicago, 2008)

• Creating structured and flexible models: some open problems (Presented at Massachusetts Institute of Technology, 2008)

• Some recent progress in simple statistical methods (Presented at the mini-symposium on statistical consulting, Applied Statistics Center, Columbia University, 2008)

• Some thoughts on multiple comparisons (Presented at the Association for Public Policy Analysis and Management conference, Washington, D.C., 2007)

• Hierarchical modeling: a unifying framework and some open questions (Presented at the 50th Anniversary Meeting of the Department of Statistics, Harvard University, 2007)

• Culture wars, voting, and polarization:  divisions and unities in modern American politics (Presented at Dartmouth College, 2007)
  Handout that goes with the talk

• Arsenic and old models (Presented for SAC Capital Management, 2007)

• Weakly informative priors (Presented at the Workshop on Monte Carlo Methods, Harvard University, 2007)

• Rich state, poor state, red state, blue state: What's the matter with Connecticut? A demonstration of multilevel modeling (Presented at the Department of Economics, George Mason University, 2005, and the Institute of Statistics and Decision Sciences, Duke University, 2006)
  Updated version (Presented at the American Sociological Association meeting, Montreal, 2006, and Yale University, 2007)

• Mathematical vs. statistical models in social science (Dresden lecture, Department of Mathematics, Swarthmore College, 2005)

• Coalitions, voting power, and political instability (Dresden lecture, Department of Mathematics, Swarthmore College, 2005)

• Interactions in multilevel models (Presented at the Joint Statistical Meetings, Minneapolis, 2005)

• Teaching statistics: a bag of tricks (Presented at Smith College, 2005). This talk was accompanied by several demonstrations and handouts, and this slideshow by itself has parts that may be hard to follow without that supplementary material.

• Some questions (and a few answers) about multilevel models (Presented at the Centers for Disease Control and Prevention, 2005)

• Learning about social and political polarization using ``How many X's do you know'' surveys (Presented at the Department of Statistics, Harvard University, 2005)
  Updated version (Presented at Oxford University, 2007)

• Ubiquity of multilevel models and how to understand them better. (Presented at the Institute for Social Research, University of Michigan, 2004, and the Department of Political Science, Stanford University, 2005)

• Fitting and understanding multilevel (hierarchical) models. (Presented at the Department of Government, Harvard University, 2004)

• Survey weighting and hierarchical regression: some successes and struggles. (Presented at the Department of Statistics, Yale University, 2004)

• Polls and Presidential elections. (Presented at the Industrial Engineering and Operations Research seminar, Columbia University, 2004)

• Toward an environment for Bayesian data analysis in R. (Presented at the Joint Statistical Meetings, Toronto, 2004)

• Computation for Bayesian data analysis. (Presented at the Joint Statistical Meetings, Toronto, 2004)

• Survey weighting and hierarchical regression. (Presented at the Joint Statistical Meetings, Toronto, 2004)

• Bayesian data analysis: what it is and what it is not (Presented at the Department of Computer Science, Columbia University, 2003)

• Combining information and group decision making. (Presented at the Workshop on Information Aggregation in Decision Making, Silver Spring, Maryland, 2003)

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