John S.J. Shu

JOHN S.J. HSU
Professor
Department of Statistics and Applied Probability
University of California
Santa Barbara, CA 93106
Tel: 805-893-4055
e-mail: hsu(at)pstat.ucsb.edu
Website: http://www.pstat.ucsb.edu/faculty/John_Hsu/

ACADEMIC DEGREES
[1990] Ph.D. in Statistics, minor in Business, University of Wisconsin-Madison.
Dissertation: ``Bayesian Inference and Marginalization''.
[1983] M.A. in Statistics, State University of New York at Buffalo.
[1978] B.A. in Statistics, Fu-Jen University, Taiwan, ROC.

RESEARCH INTERESTS:
Linear models, categorical data analysis, Bayesian inference, statistical computing, multivariate analysis, empirical finance.

SELECTED PUBLICATIONS:

Leonard, T., Hsu, J.S.J., and Tsui, K. (1989). Bayesian marginal inference. Journal of the American Statistical Association, 84, 1051-1058.
Hsu, J.S.J., Leonard, T., and Tsui, K. (1991). Statistical inference for multiple choice tests. Psychometrika, 56, 327-348.
Leonard, T. and Hsu, J.S.J. (1992). Bayesian inference for a covariance matrix. Annals of Statistics, 20, 1669-1696.
Hsu, J.S.J. (1995) Generalized Laplacian approximations in Bayesian inference. Canadian Journal of Statistics, 23, 399-410.
Sun, L., Hsu, J.S.J. Guttman, I. and Leonard, T. (1996). Bayesian methods for variance component models. Journal of the American Statistical Association, 91, 743-752.
Hsu, J.S.J. and Leonard, T. (1997). Hierarchical Bayesian semi-parametric procedures for logistic regression. Biometrika, 84, 85-93.
Leonard, T. and Hsu, J.S.J. (1999) Bayesian Methods, An Analysis for Statisticians and Interdisciplinary Researchers. Cambridge University Press, New York.
Hsu, J.S.J. (2002) A generalization of the logistic linear model. Journal of Statistical Computation and Simulation, 72, 549-564.
Wang, J. and Hsu, J.S.J. (2006) Bayesian Analysis of the Additive Mixed Model for Randomized Block Designs. Australian & New Zealand Journal of Statistics, 42, 225-236.

SELECTED WORK SUBMITTED/IN PROGRESS:

Hsu, J.S.J. and Leonard, T. The Safari Cat Data, Performance Indicators and Possibly Monotonic Population Proportions.
Hsu, J.S.J. and Leonard, T. Bayesian Inference for Model Comparison.
Bagasheva, B., Rachev, S., Hsu, J.S.J. and Fabozzi, F. Bayesian Applications to the Investment Management Process in Handbook on InformationTechnology in Finance (eds. D. Seese, C. Weinhatdt, F. Schlottmann) (by invitation),Springer, Berlin.
Rachev, S., Hsu, J.S.J., Bagasheva, B. and Fabozzi, F. Bayesian Methods in Finance. To be published by Wiley, New York.