Adaptive local likelihood modeling with applications to imaging

Speaker:
Vladimir Spokoiny
Date:
Monday, 20.3.2006, 11:30
Place:
Taub 001
Link:
http://www.cs.technion.ac.il/Seminars/Pixel/Lectures2006/VladimirSpokoiny200306.htm

The talk discusses a novel method of adaptive nonparametric smoothing based on the likelihood modeling in adaptively selected local neighborhoods. The method applies in a unified way to the mean, binary and Poisson regression, density and volatility estimation, classification etc. The performance of the methods is illustrated by a number of numerical examples and applications to image de-noising, Positron Emission Tomography, Functional and Dynamic MRI.

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