SELECTED PUBLICATIONS: Peer Reviewed, since 2001 (home page)

Karabatsos, G. & Leisen. F. (2018). Bayes calculations from quantile implied likelihood. ArXiv preprint.

Karabatsos, G. & Leisen. F. (2018). An approximate likelihood perspective on ABC methods. Statistics Surveys, 12, 66-104.

Karabatsos, G. (2017/18). A Bayes Factor for Bounding the Treatment Effect to Address Hidden Bias in Linear Regression. SSRN Preprint.

Arenson, E., and Karabatsos, G. (2018). A Bayesian beta-mixture model for nonparametric IRT (BBM-IRT). Journal of Modern Applied Statistical Methods, 1.
(SSRN preprint).

Karabatsos, G. (2018). Marginal maximum likelihood estimation methods for the tuning parameters of ridge, power ridge, and generalized ridge regression. Communications in Statistics: Simulation and Computation, 47, 1632-1651. Article e-print.

Karabatsos, G. (2018). On Bayesian testing of additive conjoint measurement axioms using synthetic likelihood. Psychometrika, 83, 321-332.
Journal preprint. SSRN preprint.

Karabatsos, G. (2018). A Bayesian nonparametric test of significance-chasing biases. Research Synthesis Methods, 9, 51-61. SSRN preprint.

Kaminski-Öztürk, N., and Karabatsos, G. (2017). A Bayesian robust IRT outlier detection model. Applied Psychological Measurement, 41, 195-208.

Karabatsos, G. (2017). A menu-driven software package of Bayesian nonparametric (and parametric) mixed models for regression analysis and density estimation. Behavior Research Methods, 49, 335-362. Software

Talbott, E., Karabatsos, G., & Zurheide, J. (2017). Informant Discrepancies, Twin Studies, and the Assessment of Antisocial Behavior: A Meta-Analysis.
In press, scheduled for publication in the Journal of School Psychology, 2018 (Issue 2).

Karabatsos, G. (2016). A Dirichlet process functional approach to heteroscedastic-consistent covariance estimation. International Journal of Approximate Reasoning, 78, 210-222. Special Issue on Bayesian Nonparametrics.

Karabatsos, G. (2016). Bayesian nonparametric response models. In chapter 19, Handbook Of Item Response Theory: Models, Statistical Tools, and Applications, Volume 1 (W.J. van der Linden, Ed.), pp. 323-336. New York: Taylor & Francis.

Karabatsos, G. (2015). A menu-driven software package for Bayesian regression analysis. ISBA Bulletin, 22(4), 13-16.

Karabatsos, G., and Walker, S.G. (2015). A Bayesian nonparametric causal model for regression discontinuity designs. In P. Müller and R. Mitra (Eds.), Nonparametric Bayesian Methods in Biostatistics. New York: Springer.

Karabatsos, G., Walker, S.G., and Talbott, E. (2015). A Bayesian nonparametric meta-analysis model, Research Synthesis Methods, 6, 1, 28-44. Journal preprint, arXiv preprint. Data Set. R code for other random effect models

Fujimoto, K., and Karabatsos, G. (2014). Dependent Dirichlet Process Rating Model (DDP-RM). Applied Psychological Measurement, 38, 217-228. Journal preprint. arXiv preprint.

Karabatsos, G., and Walker, S.G. (2012). Adaptive-Modal Bayesian Nonparametric Regression. Electronic Journal of Statistics, 6, 2038-2068.

Walker, S.G., and Karabatsos, G. (2012). Revisiting Bayesian curve fitting using multivariate normal mixtures. In P. Damien, P. Dellaportas, N. Polson, and D. Stephens (Eds.), Bayesian Theory and Applications. Oxford University Press.

Karabatsos, G., and Walker, S.G. (2012). A Bayesian nonparametric causal model. Journal of Statistical Planning and Inference, 142, 925-934.

Karabatsos, G., and Walker, S.G. (2012). Bayesian nonparametric mixed random utility models. Computational Statistics & Data Analysis, 56, 1714-1722.

Karabatsos, G., & Walker, S.G. (2010). A Bayesian nonparametric model for test equating. In Chapter 11 (pp. 175-184) of A. von Davier (Ed.), Statistical Models for Equating, Scaling, and Linking. New York: Springer.

Karabatsos, G. (2010). Probabilistic models for some intelligence and attainment tests (Rasch). In Neil Salkind (Ed.), Encyclopedia of Research Design, Sage Publications.

Karabatsos, G. (2009). Modeling heteroscedasticity in the single index model with the Dirichlet process. Advances and Applications in Statistical Sciences, 1, 83-104. MATLAB code

Karabatsos, G., & Walker, S.G. (2009). Rejoinder on normalized maximum likelihood and Bayesian decision theory: Reply to Grünwald and Navarro (2009). Journal of Mathematical Psychology, 53, 52.

Karabatsos, G., & Walker, S.G. (2009). A Bayesian nonparametric approach to test equating. Psychometrika, 74, 2, 211-232.

Muckle, T., and Karabatsos, G. (2009). Hierarchical generalized linear models for the analysis of judge ratings. Journal of Educational Measurement, 46, 198-219.

Karabatsos, G., & Walker, S.G. (2009). Coherent psychometric modeling with Bayesian nonparametrics. British Journal of Mathematical and Statistical Psychology, 62, 1-20.

Gibbons, R.D., Segawa, E., Karabatsos, G., Amatya, A.K., Brown, C.H., Kapur, K., Marcus, S., Bhaumik, D.K., Hur, K., & Mann, J.J. (2008). Random-effect Poisson regression analysis of adverse event reports: The relationship between antidepressants and suicide. Statistics In Medicine, 27, 1814-1833.

Myung, J.I., Karabatsos, G., and Iverson, G. (2008). A statistician's view on Bayesian evaluation of informed hypothesis. In Chapter 15 of H. Hoijtink, I. Klugkist, and P.A. Boelen (Eds.), Bayesian Evaluation of Informative Hypotheses, pp.309-327. New York: Springer.

Karabatsos, G., & Walker, S.G. (2007). Bayesian nonparametric inference of stochastically ordered distributions, with Polya Trees and Bernstein Polynomials. Statistics & Probability Letters, 77, 907-913.

Karabatsos, G., & Walker, S.G. (2006). On the normalized maximum likelihood and Bayesian decision theory. Journal of Mathematical Psychology, 50, 517-520.

Karabatsos, G. (2006). Bayesian nonparametric model selection and model testing. Journal of Mathematical Psychology, 50, 123-148.

Myung, J., Karabatsos, G., & Iverson, G. (2005). A Bayesian approach to testing decision making axioms. Journal of Mathematical Psychology, 49, 205-225.

Karabatsos, G. (2005). The exchangeable multinomial model as an approach for testing axioms of choice and measurement. Journal of Mathematical Psychology, 49, 51-69.

Karabatsos, G. (2005). Additivity tests. In B. Everitt and D.C. Howell [Eds.], Encyclopedia of Behavioral Statistics.

Karabatsos, G., & Sheu, C.-F. (2004). Order constrained Bayes inference for dichotomous models of unidimensional non-parametric item response theory. Applied Psychological Measurement, 28, 110-125. S-PLUS Program, NAEP data set

Karabatsos, G., & Batchelder, W.H. (2003). Markov chain Monte Carlo estimation for test theory without an answer key. Psychometrika, 68, 3, 373-389. S-PLUS Program

Karabatsos, G. (2003). Comparing the aberrant response detection performance of thirty-six person-fit statistics. Applied Measurement In Education 16, 277-298. S-PLUS Program

Karabatsos, G. & Ullrich, J.R. (2002). Enumerating and testing conjoint measurement models. Mathematical Social Sciences, 43, 487-505. Special Issue on Random Utility and Probabilistic Measurement Theory. S-PLUS Program

Karabatsos, G. (2001). The Rasch model, additive conjoint measurement, and new models of probabilistic measurement theory. Journal of Applied Measurement, 2, 389-423. S-PLUS Program