Mosuk Chow

Senior Research Associate

and Associate Professor of Statistics

PhD : Cornell University, 1983

E-mail: mchow@stat.psu.edu


theory, experimental design, Bayesian inference and sampling methods. She is the

principle investigator of the project "Adaptive Sampling with a Bayesian Approach "

funded currently by NSF.

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.

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. Recently, she is interested in Bayesian inference for

aggregated distributions under various sampling schemes and Bayesian

approach to quality control problems.

Recent Representative Publications

"Time of Outage Restoration Analysis in Distribution Systems"

(with M. Chow and L. Taylor, IEEE Transanctions on Power Delivery, 1996)

"Selecting the normal population with the best regression value -a Bayesian approach"

(with D. Fong and J. Albert, Journal of Statistical Planning and Inference, 1994)

" On the admissibility of the Maximun Likelihood Estimator of the Binomial Variance"

(with L.D. Brown and D. Fong, Canadian Journal of Statistics, 1992)

"Simultaneous Estimation of the Hardy-Weinberg Proportions"

(with D. Fong, Canadian Journal of Statistics, 1992)

"Minimaxity of the Empirical Distribution Function in Invariant Estimation"

(with Q. Yu, Annals of Statistics, 1991)

"Inadmissibility of the MLE in the Sequential Estimation in Invariant Estimation"

(with Z.D. Bai, Biometrika, 1991)

"Admissibility of the MLE for simultaneous estimation of the Negative Binomial Problems"

(Journal of Multivariate Analysis, 1990)