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Convex Optimization and Online Learning: Their Applications in Discrete Choice Modeling and Pricing
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Convex Optimization and Online Learning: Their Applications in Discrete Choice Modeling and Pricing. |
| 개인저자 | Li, Xiaobo. |
| 단체저자명 | University of Minnesota. Industrial and Systems Engineering. |
| 발행사항 | [S.l.]: University of Minnesota., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 141 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-01B(E). Dissertation Abstract International |
| ISBN | 9780438350830 |
| 학위논문주기 | Thesis (Ph.D.)--University of Minnesota, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Advisers: Shuzhong Zhang |
| 요약 | The discrete choice model has been an important tool to model customers' demand when facing a set of substitutable choices. The random utility model, which is the most commonly used discrete choice framework, assumes that the utility of each alt |
| 일반주제명 | Industrial engineering. Operations research. Applied mathematics. |
| 언어 | 영어 |
| 바로가기 | 
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