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A Geometric Perspective on Some Topics in Statistical Learning
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Wei, Yuting. |
| 단체저자명 | University of California, Berkeley. Statistics. |
| 서명/저자사항 | A Geometric Perspective on Some Topics in Statistical Learning. |
| 발행사항 | [S.l.] : University of California, Berkeley., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 188 p. |
| 소장본 주기 | School code: 0028. |
| ISBN | 9780438325142 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Advisers: Martin J. Wainwright |
| 요약 | Modern science and engineering often generate data sets with a large sample size and a comparably large dimension which puts classic asymptotic theory into question in many ways. Therefore, the main focus of this thesis is to develop a fundament |
| 요약 | Our treatment of these different problems shares the common theme of emphasizing the underlying geometric structure. To be more specific, in our hypothesis testing problem, the null and alternative are specified by a pair of convex cones. This c |
| 요약 | These results demonstrate that, on one hand, one can benefit from respecting and making use of the underlying structure (optimal early stopping rule for different RKHS) |
| 요약 | To evaluate the behavior of any statistical procedure, we follow the classic minimax framework and also discuss about more refined notion of local minimaxity. |
| 일반주제명 | Statistics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International80-01B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998401 |
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인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00027812 | 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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