Impact of the Choice of Hyper-parameters on Statistical Inference using SGD Estimates and Optimal Experimental Designs for Precision Medicine with Multi-component Treatments.

Saanchi, Yeng

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North Carolina State University

Impact of the Choice of Hyper-parameters on Statistical Inference using SGD Estimates and Optimal Experimental Designs for Precision Medicine with Multi-component Treatments.

dc:creator Saanchi, Yeng

dc:date.issued2022

Abstract

dc:description

North Carolina State University Theses Statistics.

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Saanchi, Yeng
Advisors dc:contributor.advisor: Leonard Stefanski, Co-Chair
Eric Laber, Co-Chair
Marie Davidian, Member
Dennis Boos, Member
Srinath Ekkad, Graduate School Representative

Identifiers

dc:identifier.*

Dc Identifier Other: deg31959
OAI record oai:identifier: https://repository.lib.ncsu.edu/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Arepository.lib.ncsu.edu%3A1840.20%2F40774

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Harvested from: North Carolina State University
Base URL: repository.lib.ncsu.edu/server/oai/request
Last updated: 2026-08-21
Source record: OAI-PMH GetRecord

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ncsu
2022

citation

Saanchi, Yeng. Impact of the Choice of Hyper-parameters on Statistical Inference using SGD Estimates and Optimal Experimental Designs for Precision Medicine with Multi-component Treatments.. 2022. https://www.lib.ncsu.edu/resolver/1840.20/40774

Impact of the Choice of Hyper-parameters on Statistical Inference using SGD Estimates and Optimal Experimental Designs for Precision Medicine with Multi-component Treatments.

Abstract

Author and committee

Identifiers

Chain of custody

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