Home > Events > 2017 Seminars & Colloquia > Weining Shen, University of California, Irvine

Weining Shen, University of California, Irvine

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Adaptive estimation in Bayesian nonparametric models
When
22 February 2018 from 4:00 PM to 5:00 PM
Where
104 Thomas Building
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Bayesian nonparametric (BNP) models have been widely used in modern statistic and machine learning applications. In this talk, I will discuss some theoretical properties of the commonly used BNP methods from a frequentist asymptotic perspective. These results will help understand the connection between BNP and frequentist approaches. I will focus on function estimation problems and discuss a class of adaptive estimators. Examples include density estimation, high-dimensional regression, shape constrained regression, and independence testing.
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