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Inverse Optimization, Incentive Design and Healthcare Policy

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개인저자Siddiq, Auyon.
단체저자명University of California, Berkeley. Industrial Engineering & Operations Research.
서명/저자사항Inverse Optimization, Incentive Design and Healthcare Policy.
발행사항[S.l.] : University of California, Berkeley., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항155 p.
소장본 주기School code: 0028.
ISBN9780438323933
일반주기 Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Zuo-Jun Shen.
요약This dissertation presents mathematical models and algorithms that draw from optimization and statistics and are motivated by practical problems in operations management. We discuss theoretical properties of the proposed models as well as their
요약In Chapter 2, we address the problem of building models of agent behavior from observational data regarding the agent's decisions. Concretely, we consider the inverse optimization problem, which refers to the estimation of unknown model paramete
요약In Chapter 3, we employ an inverse optimization approach to redesign a class of Medicare contracts. We formulate the existing contract between Medicare and a provider as a principal-agent model. We then propose an alternate contract, which we sh
요약In Chapter 4, we propose a data-driven modeling approach to facility location in a setting where the location of demand points is subject to uncertainty. The model is motivated by the problem of placing automated external defibrillators in publi
일반주제명Operations research.
Statistics.
언어영어
기본자료 저록Dissertation Abstracts International80-01B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14997785

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