Department of Statistics Penn State University Eberly College of Science Department of Statistics
Mosuk Chow


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  • Senior Research Associate and Associate Professor
  • Ph.D., Cornell University, 1983

Summary of research interests

Dr. Chow's areas of research interest include biostatistics, statistical decision theory, Bayesian inference and sampling methods.

An important question in statistical decision theory is to characterize the set of all optimal prodecures. An admissible procedure is optimal in the weak sense that it cannot be outperformed by another procedure completely in all circumstances. It is thus desirable to find necessary conditions for admissible procedures. Her work in decision theory involves finding such necessary conditions, investigating the admissiblity properties of various estimatiors for problems arising from biology, genetics and fishery.

Since for most cases a necessary condition for admissibility is that the procedure corresponds to a generalized Bayes rule, Dr. Chow's research also covers Bayesian inference. With recent advances in Bayesian computation methods, she has used Markov chain Monte Carlo methods in some of her work. Currently, she is interested in Bayesian inference for aggregated distributions under various sampling schemes and Bayesian approach to problems related to biostatistics.

Representative Publications

M. Chow and S. Thompson. 2003. S estimation with link-tracing sampling designs: a Bayesian approach. Survey Methodology 29(2): 197-205.

Z. D. Bai, C. R. Rao, M. Chow and D. Kundu. 2003. An efficient algorithm for estimating the parameters of superimposed exponential signals. Journal of Statistical Planning and Inference 49: 23-34.

D. Fong, M. Chow, and J. Albert. 1994. Selecting the normal population with the best regression value: a Bayesian approach. Journal of Statistical Planning and Inference 40: 97-111.

M. Chow and D. Fong. 1992. Simultaneous estimation of the Hardy-Weinberg proportions. The Canadian Journal of Statistics 20: 291-296.

Q. Yu and M. Chow. 1991. Minimaxity of the empirical distribution function. Annals of Statistics 19: 935-951.

Z. D. Bai and M. Chow. 1991. Inadmissibility of the MLE in the sequential estimation of the size of a population. Biometrika 78: 817-823.

M. Chow. 1990. Admissibility of the MLE for simultaneous estimation of the negative binomial problems. Journal of Multivariate Analysis 33: 212-219.

M. Chow. 1987. A complete class theorem for noncentrality parameter. Annals of Statistics 15: 800-804.

Last updated: April 22, 2005

 

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