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University of Illinois at Urbana-Champaign

Scalable algorithms for Bayesian variable selection

Abstract

dc:description

This Dissertation was approved for publication on 2016-07-14 at 08:43.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Statistics
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Wang, Jin
Contributors dc:contributor
  • Liang, Feng
  • Marden, John I.
  • Ji, Yuan
  • Zhao, Dave
  • Park, Trevor

Subjects

dc:subject × 6

Rights

dc:rights
Statement dc:rights
  • Copyright 2016 Jin Wang
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/92827
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/92827

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Wang, Jin. Scalable algorithms for Bayesian variable selection. Dissertation thesis, University of Illinois at Urbana-Champaign, 2016. http://hdl.handle.net/2142/92827