MARC보기
LDR01591nmm uu200421 4500
001000000331036
00520240805163309
008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438370487
035 ▼a (MiAaPQ)AAI10831449
035 ▼a (MiAaPQ)uchicago:14442
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 310
1001 ▼a Patel, Vivak.
24510 ▼a Identification of Dynamical Systems: Identifiability to Stochastic 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 240 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Adviser: Mihai Anitescu.
5021 ▼a Thesis (Ph.D.)--The University of Chicago, 2018.
520 ▼a The central theme of this thesis is to understand two deeply related question. When can a differential system model be identifiable from observations? If the model is identifiable, how can we identify it practically? While these questions are by
590 ▼a School code: 0330.
650 4 ▼a Statistics.
650 4 ▼a Applied mathematics.
650 4 ▼a Industrial engineering.
690 ▼a 0463
690 ▼a 0364
690 ▼a 0546
71020 ▼a The University of Chicago. ▼b Statistics.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0330
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999516 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자