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Combinatorial Inference for Large-Scale Data Analysis
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Lu, Junwei. |
| 단체저자명 | Princeton University. Operations Research and Financial Engineering. |
| 서명/저자사항 | Combinatorial Inference for Large-Scale Data Analysis. |
| 발행사항 | [S.l.] : Princeton University., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 237 p. |
| 소장본 주기 | School code: 0181. |
| ISBN | 9780438047709 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Advisers: Han Liu |
| 요약 | Problems of inferring the combinatorial structures of networks arise in many real applications ranging from genomic regulatory networks, brain networks to social networks. This poses new and challenging problems on the uncertainty assessment and |
| 요약 | In the first part of the thesis, we propose a unified inferential method to test hypotheses on the global combinatorial properties of graphical models. We showed that my method works for general monotone graph properties that can be preserved un |
| 요약 | In the second part of the thesis, we generalize the combinatorial inference for larger family of graphical models. We propose a novel class of dynamic nonparanormal graphical models, which allows us to model high dimensional heavy-tailed systems |
| 일반주제명 | Statistics. Operations research. Artificial intelligence. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-10B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998086 |
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인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00027510 | 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
|
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