JPSM Distinguished Lecture
"Finite Population Sampling: A Bayesian View"
RSVP
Professor Malay Ghosh
Distinguished Professor
Department of Statistics
University of Florida
Abstract: I will take the point of view that the main problem in finite population sampling is predicting the unobserved from the observed. A Bayesian approach will be introduced towards this end.
I will illustrate with the normal model as well as with its various generalizations. The role of auxiliary information will also be discussed. Finally, I will discuss at some length the suitability or unsuitability of the Horvitz-Thompson estimator also from a Bayesian angle.
DISCUSSANTS:
Terrance D. Savitsky, Ph.D.
Senior Research Mathematical Statistician
Office of Survey Methods Research
U.S. Bureau of Labor Statistics
Jean Opsomer, Ph.D.
Vice President
Westat
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