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Department of Statistics
Texas A&M University
STATISTICS COLLOQUIUM
DEPARTMENT OF STATISTICS
Texas A&M University
Brani Vidakovic
Statistics Department
Duke University
Bayesian Wavelet Shrinkage: Principles and Applications
ABSTRACT: I will introduce and discuss the paradigm of Bayesian wavelet shrinkage and give a few examples at the beginning of the talk. The discussion will cover the "proper" selection of a Bayesian model that induces shrinkage in the wavelet domain. Several applications will be discussed: density estimation, spectral density estimation, turbulence data filtering, and some others.
| DATE: | Thursday, November 19, 1998 | |
| TIME: | 4:00 p.m.-5:00 p.m. | |
| PLACE: | Room 150, Blocker |
Refreshments will be served in the Blocker Building, Room 447, at 3:30 p.m.
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