CONFERENCE PRESENTATIONS (Selected)
(* indicates research supported by NSF grant SES-0242030, Program In Methodology,
Measurement, and Statistics;
** indicates research supported by Spencer Foundation grant SG200100020)
Karabatsos, G. (May 2, 2008). Modeling heteroscedsasticity in the single
index model with the Dirichlet Process. Seminar on Bayesian Inference and
Econometrics, University of Chicago.
Lin, H.-W., Pickard, A.S., Karabatsos, G., Mahady, G.B., Crawford, S., Popovich,
N.G. (2008). Development and validation of a measure to assess general and
herbal and dietary supplement-specific patient counseling by pharmacists.
Abstract submitted for presentation for the annual conference of the American
Association of Colleges of Pharmacy (AACP) annual meeting, Chicago, July 19-23.
Lin, H.-W., Pickard, A.S., Karabatsos, G., Mahady, G.B., Crawford, S., Popovich,
N.G. (2008). Validating a Survey Instrument Using Nonparametric Item Response
Theory Application of Kernel Regression. Presentation for the annual conference
of the International Society for Pharmacoeconomics and Outcomes Research, Toronto,
Ontario, Canada, May 3-7.
*Myung, J.I., Karabatsos, G., and Iverson, G. (2007). Inequality Constrained
Bayesian Inference: Evaluation and Discussion. Workshop on Null, Alternative,
and Informative Hypotheses. Utrecht, Netherlands.
*Myung, J.I., Iverson, G., and Karabatsos, G. (2007). Hierarchical Bayesian
Models for Order-Constrained Data from Factorial Designs. Poster presentation,
Valencia / ISBA Eighth World Meeting
on Bayesian Statistics. Alicante, Spain.
Karabatsos, G., and Walker, S.G. (April, 2007). A Bayesian nonparametric
approach to test equating. Presented at the conference of the National Council
of Measurement In Education, Chicago.
Lin, H.W., Karabatsos, G., Jackson, T.R., Popovich, N.G. (2006) A Bayesian
Approach to the Multinomial Processing Tree Model for the Analysis of A Multiple-Choice
Examination of Pharmacy Knowledge. Midwest Social And Administrative Pharmacy
Conference, University Of Minnesota, July 27-29.
*Karabatsos, G. (2005). Bayesian non-parametric model selection and model
testing. Psychometrics Society Meeting (IMPS 2005), Session on Bayesian
non-parametric and order-constrained Inference. Tilburg University, The Netherlands.
*Karabatsos, G. (July, 2004). An exchangeable multinomial model for testing axioms of measurement and decision. The 37th Annual Meeting of Society for Mathematical Psychology, University of Michigan.
*Karabatsos, G. (June, 2004). Inference with Polya tree models under stochastic order. Paper presented at the Fourth Workshop of Bayesian Non-Parametrics: Methodology, Theory, and Applications, University of Rome, Italy.
*Karabatsos, G., & Sheu, C.-F. (August, 2003). Testing cancellation axioms with the Bayesian bootstrap. The 36 th Annual Meeting of Society for Mathematical Psychology, Weber State University, Ogden, Utah.
Karabatsos, G. (September, 2002). A general Bayes framework for isotonic regression. Poster presented at the First Cape Cod workshop on Monte Carlo Methods, Hyannis, Massachussetts.
Karabatsos, G. (2002). A comparison of 36 person fit statistics of item response theory. Paper presented in a session entitled “Rasch person fit analysis,” George Karabatsos, chair, in the International Objective Measurement Workshop conference, New Orleans.
Karabatsos, G., & Sheu, C.-F. (August, 2001). Testing measurement theory axioms with Markov Chain Monte Carlo. The 34 th Annual Meeting of Society for Mathematical Psychology, Brown University, Providence, Rhode Island.
Karabatsos, G. (March, 2000). Markov Chain Monte Carlo (MCMC) estimation for Multinomial Processing Tree Models: A Program In S-PLUS. Paper presentation for the Annual Conference of the Society for Computers in Psychology, New Orleans.
Karabatsos, G., & Batchelder, W.H. (August, 2000). Test theory without an answer key: New results with Markov-Chain Monte Carlo estimation. The 33 rd Annual Meeting of the Society for Mathematical Psychology, Kingston, Ontario, Canada.
Karabatsos, G., & Batchelder, W.H. (April, 2000). Multinomial processing tree models for the measurement of cognition. International Outcomes Measurement Conference 3, Chicago, Illinois.