| LDR | | 01943nmm uu200433 4500 |
| 001 | | 000000333348 |
| 005 | | 20240805172847 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438324732 |
| 035 | |
▼a (MiAaPQ)AAI10816525 |
| 035 | |
▼a (MiAaPQ)berkeley:17857 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 510 |
| 100 | 1 |
▼a El Abidi, Ahmed El Alaoui. |
| 245 | 10 |
▼a Detection Limits and Fluctuation Results in Some Spiked Random Matrix Models and Pooling of Discrete Data. |
| 260 | |
▼a [S.l.] :
▼b University of California, Berkeley.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 191 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
| 500 | |
▼a Adviser: Michael I. Jordan. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of California, Berkeley, 2018. |
| 520 | |
▼a In this thesis we examine the fundamental limits of detecting and recovering a weak signal hidden in a large amount of noise. We will consider two problems. The first one pertains to principal component analysis, and is about estimating and dete |
| 520 | |
▼a The second problem we consider is that of pooling, and is about recovering a discrete signal, i.e., whose entries only take can a finite number of values, given several observation that are constrained in a combinatorial way. More precisely, in |
| 590 | |
▼a School code: 0028. |
| 650 | 4 |
▼a Mathematics. |
| 650 | 4 |
▼a Statistics. |
| 650 | 4 |
▼a Statistical physics. |
| 690 | |
▼a 0405 |
| 690 | |
▼a 0463 |
| 690 | |
▼a 0217 |
| 710 | 20 |
▼a University of California, Berkeley.
▼b Electrical Engineering & Computer Sciences. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0028 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998260
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |