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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