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Analysing Dependence in Stochastic Networks via Gaussian Graphical Models
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Wang, Nana. |
| 단체저자명 | University of California, Davis. Statistics. |
| 서명/저자사항 | Analysing Dependence in Stochastic Networks via Gaussian Graphical Models. |
| 발행사항 | [S.l.] : University of California, Davis., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 164 p. |
| 소장본 주기 | School code: 0029. |
| ISBN | 9780438291423 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Wolfgang Polonik. |
| 요약 | The topic of this work is modeling and analyzing dependence in stochastic social networks. In a latent variable block model, we present an approach for analyzing the dependence between blocks via the analysis of a latent graphical model by using |
| 요약 | The second part of this work extends the iid setting of the first part to a dependent setup. This leads to the analysis of latent dynamic graphical models under uncertainty. Here the concept of locally stationary VAR(p) graphical models comes in |
| 일반주제명 | Statistics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998903 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00026241 | 310 | 가야대학교// | 대출가능 |
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