| LDR | | 02178nam u200445 4500 |
| 001 | | 000000421403 |
| 005 | | 20190215165302 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438047709 |
| 035 | |
▼a (MiAaPQ)AAI10813738 |
| 035 | |
▼a (MiAaPQ)princeton:12511 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 310 |
| 100 | 1 |
▼a Lu, Junwei. |
| 245 | 10 |
▼a Combinatorial Inference for Large-Scale Data Analysis. |
| 260 | |
▼a [S.l.]:
▼b Princeton University.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 237 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Advisers: Han Liu |
| 502 | 1 |
▼a Thesis (Ph.D.)--Princeton University, 2018. |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 590 | |
▼a School code: 0181. |
| 650 | 4 |
▼a Statistics. |
| 650 | 4 |
▼a Operations research. |
| 650 | 4 |
▼a Artificial intelligence. |
| 690 | |
▼a 0463 |
| 690 | |
▼a 0796 |
| 690 | |
▼a 0800 |
| 710 | 20 |
▼a Princeton University.
▼b Operations Research and Financial Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0181 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998086
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |