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Filtering by: Keyword lifted Brownian random field Keyword variable selection Resource type Dissertation

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Description:: Gaussian process provides a principled and flexible approach for modeling the response surface or the latent function in many areas, including machine learning, statistics and computer experiment. In literature, Gaussian process models have already demonstrated their effectiveness and usefulness in a variety of applications. In this dissertation, we mainly focus...
Keyword:: variable selection, variational inference, Gaussian process, and lifted Brownian random field
Subject:: Statistics
Creator:: Yu, Yang
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 01/21/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15098 and etdadmin_upload_742660

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