Robust Bayesian mixture modeling

Details Robust Bayesian mixture modeling Robust Bayesian mixture modeling

2003-11-28

2009-12-22

Shah, Kamini S (Department: 2128)

Data processing: structural design, modeling, simulation, and em

Modeling by mathematical expression

C706S019000

Reexamination Certificate

active

07636651

ABSTRACT:
A Bayesian treatment of mixture models is based on individual components having Student distributions, which have heavier tails compared to the exponentially decaying tails of Gaussians. The mixture of Student distribution components is characterized by a set of modeling parameters. Tractable approximations of the posterior distributions of individual modeling parameters are optimized and used to generate a data model for a set of input data.

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