자료유형 | E-Book |
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개인저자 | Li, Qian. |
단체저자명 | University of California, Los Angeles. Biostatistics 0132. |
서명/저자사항 | Hierarchical Integration of Heterogeneous Highly Structured Data: The Case of Functional Brain Imaging. |
발행사항 | [S.l.] : University of California, Los Angeles., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 117 p. |
소장본 주기 | School code: 0031. |
ISBN | 9780438006034 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Donatello Telesca. |
요약 | Functional brain imaging technologies produce high dimensional data with structured dependency spanning along multiple dimensions. This dissertation focuses on the specific case of Electroencephalography (EEG), even though most methodological de |
일반주제명 | Biostatistics. Statistics. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International79-10B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998755 |