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Distributionally Robust Optimization and Its Applications in Mathematical Finance, Statistics, and Reinforcement Learning.
Distributionally Robust Optimization and Its Applications in Mathematical Finance, Statistics, and Reinforcement Learning.
- 자료유형
- 학위논문
- Control Number
- 0016054036
- International Standard Book Number
- 9798544204220
- Dewey Decimal Classification Number
- 510
- Main Entry-Personal Name
- Zhou, Zhengqing.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Stanford University., 2021
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Physical Description
- 138 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
- General Note
- Advisor: Blanchet, Jose H.; Glynn, Peter W.; Papanicolaou, George.
- Dissertation Note
- Thesis (Ph.D.)--Stanford University, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Sample size.
- Subject Added Entry-Topical Term
- Optimization.
- Subject Added Entry-Topical Term
- Decision making.
- Subject Added Entry-Topical Term
- Operations research.
- Subject Added Entry-Topical Term
- Probability.
- Subject Added Entry-Topical Term
- Linear programming.
- Subject Added Entry-Topical Term
- Algorithms.
- Subject Added Entry-Topical Term
- Mathematics.
- Subject Added Entry-Topical Term
- Approximation.
- Added Entry-Corporate Name
- Stanford University.
- Host Item Entry
- Dissertations Abstracts International. 83-03B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:609677
