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020 ▼a 9780438047990
035 ▼a (MiAaPQ)AAI10815951
035 ▼a (MiAaPQ)princeton:12532
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 310
1001 ▼a Zhu, Ziwei.
24510 ▼a Distributed and Robust Statistical Learning.
260 ▼a [S.l.]: ▼b Princeton University., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 268 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Adviser: Jianqing Fan.
5021 ▼a Thesis (Ph.D.)--Princeton University, 2018.
520 ▼a Decentralized and corrupted data are nowadays ubiquitous, which impose fundamental challenges for modern statistical analysis. Illustrative examples are massive and decentralized data produced by distributed data collection systems of giant IT c
590 ▼a School code: 0181.
650 4 ▼a Statistics.
650 4 ▼a Operations research.
690 ▼a 0463
690 ▼a 0796
71020 ▼a Princeton University. ▼b Operations Research and Financial Engineering.
7730 ▼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
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998209 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033