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Events

The Maseeh Mathematics and Statistics Colloquium Series
Friday, April 29, 2011 - 3:15pm

Portland State University
Fariborz Maseeh Department of Mathematics & Statistics

The Maseeh Mathematics and Statistics Colloquium Series presents
Raymond Carroll, Distinguished Professor of Statistics, Nutrition and Toxicology, Department of Statistics, Texas A&M University

Deconvolution and Classification

In a series of papers on Lidar data, magically good classification rates are claimed once data are deconvolved and a dimension reduction technique applied. The latter can certainly be useful, but it is not clear a priori that deconvolution is a good idea in this context. After all, deconvolution adds noise, and added noise leads to lower classification accuracy. I will give a more or less formal argument that in a closely related class of deconvolution problems, what statisticians call "Measurement Error Models", deconvolution leads to increased classification error rates. An empirical example in a more classical deconvolution context illustrates the results.

Friday, April 29, 3:15 p.m.
Neuberger Hall room 454
(Refreshments served at 3:00 Neuberger Hall room 344)

* Sponsored by the Maseeh Mathematics and Statistics Colloquium Series Fund and the Fariborz Maseeh Department of Mathematics & Statistics, PSU. This event is free and open to the public.