자료유형 | 학위논문 |
---|---|
서명/저자사항 | A Measure-Theoretic Approach to Bayesian Hypothesis Testing and Inversion with Geophysical Data. |
개인저자 | Miltenberger, Alexander M. . |
단체저자명 | Stanford University. |
발행사항 | [S.l.]: Stanford University., 2022. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2022. |
형태사항 | 147 p. |
기본자료 저록 | Dissertations Abstracts International 84-04B. Dissertation Abstract International |
ISBN | 9798351494791 |
학위논문주기 | Thesis (Ph.D.)--Stanford University, 2022. |
일반주기 |
Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
Advisor: Mukerji, Tapan;Caers, Jef;Knight, Rosemary. |
이용제한사항 | This item must not be sold to any third party vendors. |
일반주제명 | Flow velocity. Graphs. Bayesian analysis. Inverse problems. Neural networks. Probability. Time series. Biology. Fluid mechanics. Geophysics. Mathematics. Mechanics. Physics. |
언어 | 영어 |
바로가기 |
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |