• Combining analysis of square tables and propensity score matching: Do two groups of assessors differ in their usage of the categories? Case Studies in Bayesian Statistics Workshop 9, Special Session in Honor of Stephen E. Fienberg's 65-th Birthday, Pittsburgh, PA, October 19, 2007.
  • An Extension of Hierarchical Bayesian Mixed Membership Models. Department of Statistics, Athens University of Economics and Business, Athens, Greece, June 1, 2007.
  • A Bayesian analysis of multivariate binary response data using basic and compartmental Grade of Membership models. Department of Statistics and Actuarial Sciences, University of Waterloo, December 2006.
  • Using propensity score matching to investigate differential item functioning. International Meeting of the Psychometric Society, Montreal, June 14-17, 2006.
  • Self-rated health among foreign- and native-born individuals: A test of comparability for Asian Americans (with David Takeuchi and Emily Walton). 6th International Conference on Health Policy Research, Boston, MA, October 28, 2005.
  • Dimensions of Functional Disability in the Elderly: Analyzing Basic and Instrumental Activities of Daily Living. Society of Social Work and Research Annual Conference, Miami, Florida, January 15, 2005.
  • Bayesian Estimation of  a Latent Trait Model with Bounded Continuous Latent Variables. International Meeting of the Psychometric Society, Pacific Grove, CA, June 2004 (IMPS-2004).
  • Mixed Membership Models for Scientific Publications (with S. Fienberg and J. Lafferty). Arthur M. Sackler Colloquium on "Mapping Knowledge Domains," May 2003, Berkman Center of the National Academy of Sciences, Irvine, CA. (pdf)
  •  Mixed Membership Models.  Warren Neel Conference on the New Frontiers of Statistical Data Mining, Knowledge Discovery, and E-Business, Knoxville, Tennessee, June 2002.
  •  Using Statistical Models to Understand Functional Disability Among the Elderly.  Department of Health Care Policy, Harvard Medical School, Boston, MA, February 2002.
  •  Using Statistical Models to Understand Functional Disability Among the Elderly.  School of Social Work, Unieversity of Washington, Seattle, WA, February 2002.
  •  The GoM Model: Latent Class Representation and Implications for Bayesian Estimation. Department of Statistics, University of Washington, Seattle, WA, February 2002.
  • The GoM Model: Latent Class Representation and Implications for Bayesian Estimation.  Faculteit Psychologie, Katolieke Universiteit Leuven, Belgium, December 2001.
  •  Heterogeneity Representations of Log-Linear, Latent Class, Rasch, and Grade of Membership Models. International Meetings of Psychometrics Society, Osaka, Japan, July 2001.

Last updated: October 30, 2007.