| LDR | | 01503nam u200385 4500 |
| 001 | | 000000419605 |
| 005 | | 20190215163817 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438191433 |
| 035 | |
▼a (MiAaPQ)AAI10907741 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 310 |
| 100 | 1 |
▼a Brinda, William David. |
| 245 | 10 |
▼a Adaptive Estimation with Gaussian Radial Basis Mixtures. |
| 260 | |
▼a [S.l.]:
▼b Yale University.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 113 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B. |
| 500 | |
▼a Adviser: Andrew R. Barron. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Yale University, 2018. |
| 520 | |
▼a By considering a rich class of remodels with appropriately devised penalties, density estimators call be designed to naturally adapt to the complexity revealed by the data. This dissertation explores approximation, estimation, and computation pr |
| 590 | |
▼a School code: 0265. |
| 650 | 4 |
▼a Statistics. |
| 650 | 4 |
▼a Mathematics. |
| 690 | |
▼a 0463 |
| 690 | |
▼a 0405 |
| 710 | 20 |
▼a Yale University. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-11B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0265 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000803
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |