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Robust Bayes in Hierarchical Modeling and Empirical Bayes Analysis in Multivariate Estimation
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Wang, Xiaomu. |
| 단체저자명 | The Ohio State University. Statistics. |
| 서명/저자사항 | Robust Bayes in Hierarchical Modeling and Empirical Bayes Analysis in Multivariate Estimation. |
| 발행사항 | [S.l.] : The Ohio State University., 2015 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2015 |
| 형태사항 | 99 p. |
| 소장본 주기 | School code: 0168. |
| ISBN | 9780438097315 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Berliner L. Mark. |
| 요약 | With the modern development of statistical data analysis, the data volume increases and the data dimension increases correspondingly. This thesis investigates two classic Bayes problems: robust Bayes analysis in hierarchical modeling and empiric |
| 요약 | In Bayesian analysis, it is difficult to develop a single prior to completely and fully quantify our prior information. Thereby, o-contamination classes have become popular models of the uncertainty in prior distributions. For the first part of |
| 요약 | When a class of priors is assumed in Bayesian analysis, it is vital to consider a decision rule corresponding to this class. In a multivariate estimation setting, for the second part of this thesis, I focus on research to find a compromise betwe |
| 일반주제명 | Statistics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-10B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T15000267 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00024967 | DP 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |
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