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020 ▼a 9780438310124
035 ▼a (MiAaPQ)AAI10970773
035 ▼a (MiAaPQ)OhioLINK:osu1469437723
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 310
1001 ▼a Wang, Junyan.
24510 ▼a Empirical Bayes Model Averaging in the Presence of Model Misfit.
260 ▼a [S.l.]: ▼b The Ohio State University., ▼c 2016.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2016.
300 ▼a 166 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Advisers: Mario Peruggia
5021 ▼a Thesis (Ph.D.)--The Ohio State University, 2016.
520 ▼a We study the performance of Bayesian Model Averaging (BMA) with respect to out-of-sample prediction accuracy in the presence of model misfits. Zellner's g prior remains popular in Bayesian regression modeling, and treatment of the parameters in
590 ▼a School code: 0168.
650 4 ▼a Statistics.
690 ▼a 0463
71020 ▼a The Ohio State University. ▼b Statistics.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0168
791 ▼a Ph.D.
792 ▼a 2016
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001359 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033