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Department of Statistics, The Ohio State University
Statistics and Biostatistics Colloquium Series
On the Density Ratio Model
Kostas Fokianos
Department of Mathematics & Statistics
University of Cyprus
4:00 - Wednesday, February 16, 2005
Room 240, Cockins Hall (CH 240)
ABSTRACT
The density ratio model specifies that the loglikelihood
ratio of two unknown densities is of known linear form
which depends on some finite dimensional parameters. The
model can be broadened to allow for m-samples in a quite
natural way. Estimation of both parametric and non-
parametric part of the models is carried out by the method
of empirical likelihood. We review some recent results
about the density ratio model and show how it is utilized
for the analysis of two or more samples.
Meet the speaker in Room 212 Cockins Hall at 4:30 p.m. Refreshments will be served.
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