| LDR | | 02072nmm uu200445 4500 |
| 001 | | 000000332833 |
| 005 | | 20240805171655 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438084421 |
| 035 | |
▼a (MiAaPQ)AAI10808337 |
| 035 | |
▼a (MiAaPQ)uchicago:14319 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 310 |
| 100 | 1 |
▼a Wong, Sze Wai. |
| 245 | 10 |
▼a Geometric Methods in Statistics and Optimization. |
| 260 | |
▼a [S.l.] :
▼b The University of Chicago.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 114 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B. |
| 500 | |
▼a Adviser: Lek-Heng Lim. |
| 502 | 1 |
▼a Thesis (Ph.D.)--The University of Chicago, 2018. |
| 520 | |
▼a Statistical estimation problems in multivariate analysis and machine learning often seek linear relations among variables. This translates to finding an affine subspace from the sample data set that, in an appropriate sense, either best represen |
| 520 | |
▼a We then extend the framework to a nest of linear subspaces, that represent the variables in different regimes. Diving into the multi-scale representation of the data revealed by these problems requires a systematic study of nest of linear subspa |
| 520 | |
▼a Lastly, we study the Yates's algorithm that was first proposed to exploit the structure of full factorial designed experiment to obtain least squares estimates for factor effects for all factors and their relevant interactions. In short it is an |
| 590 | |
▼a School code: 0330. |
| 650 | 4 |
▼a Statistics. |
| 650 | 4 |
▼a Applied mathematics. |
| 650 | 4 |
▼a Mathematics. |
| 690 | |
▼a 0463 |
| 690 | |
▼a 0364 |
| 690 | |
▼a 0405 |
| 710 | 20 |
▼a The University of Chicago.
▼b Statistics. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-11B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0330 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997808
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |