Topics in Bayesian Transfer Learning and Scalable MCMC for Gaussian Processes.

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dc.contributor.advisorBrian Reich, Co-Chair
dc.contributor.advisorJonathan Williams, Co-Chair
dc.contributor.advisorEmily Hector, Member
dc.contributor.advisorSrijan Sengupta, Member
dc.contributor.advisorSarah Khan, Graduate School Representative
dc.contributor.authorAbba, Mohamed Abdelkader
dc.date.accepted2024-04-02
dc.date.accessioned2024-04-03T12:30:52Z
dc.date.available2024-04-03T12:30:52Z
dc.date.defense2023-12-07
dc.date.issued2023-12-07
dc.date.released2024-04-03
dc.date.reviewed2024-01-16
dc.date.submitted2024-01-06
dc.degree.disciplineStatistics
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg36320
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/41649
dc.titleTopics in Bayesian Transfer Learning and Scalable MCMC for Gaussian Processes.

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