자료유형 | E-Book |
---|---|
개인저자 | Holbrook, Andrew J. |
단체저자명 | University of California, Irvine. Statistics - Ph.D.. |
서명/저자사항 | Geometric Bayes. |
발행사항 | [S.l.] : University of California, Irvine., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 207 p. |
소장본 주기 | School code: 0030. |
ISBN | 9780438304321 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Babak Shahbaba. |
요약 | This dissertation is an investigation into the intersections between differential geometry and Bayesian analysis. The former is the mathematical discipline that underlies our understanding of the spatial structure of the universe |
요약 | A major component of this work is the development and application of probabilistic models defined over smooth manifolds: dependencies between time series are modeled using the manifold of Hermitian positive definite matrices |
요약 | This dissertation is ordered as follows. In Chapter 1, the general setting is introduced along with the rudiments of Riemannian geometry. In Chapter 2, the geodesic Lagrangian Monte Carlo algorithm is presented and used for Bayesian inference ov |
일반주제명 | Statistics. Applied mathematics. Computer science. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International80-01B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14999100 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00028409 | 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |