E-mail: mchow@stat.psu.edu
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. Recently, she is interested in Bayesian inference for aggregated distributions under various sampling schemes and Bayesian approach to quality control problems.
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