Browsing by Subject "Generalized Linear Models"
Now showing items 1-2 of 2
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(2022-06-15)This dissertation focuses on solving some of the most interesting theoretical and methodological questions arising out of various different disciplines with a Bayesian perspective. With the advent of large scale dataset ...
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(2021-07-16)I provide statistical guarantees for Bayesian variational boosting by proposing a novel small bandwidth Gaussian mixture variational family. We employ a functional version of Frank-Wolfe optimization as our variational ...