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作者：Saghafian, Soroush; Hopp, Wallace
作者单位：Harvard University; University of Michigan System; University of Michigan
摘要：Public reporting of medical treatment outcomes is being widely adopted by policymakers in an effort to increase quality transparency and improve alignment between patient choices and provider capabilities. We examine the soundness of this approach by studying the effects of quality transparency on patient choices, hospital investments, societal outcomes (e.g., patients' social welfare and inequality), and the healthcare market structure (e.g., medical or geographical specialization). Our resul...
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作者：Glynn, Peter W.; Fan, Lin; Fu, Michael C.; Hu, Jian-Qiang; Peng, Yijie
作者单位：Stanford University; University System of Maryland; University of Maryland College Park; University System of Maryland; University of Maryland College Park; Fudan University; Peking University
摘要：We provide a simple proof of the central limit theorem (CLT) for estimated functions at estimated points. Such estimators arise in a number of different simulationbased computational settings. We illustrate the methodology via applications to quantile estimation and related sensitivity analysis, as well as to computation of conditional valueat-risk.
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作者：Hazimeh, Hussein; Mazumder, Rahul
作者单位：Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT)
摘要：The L-0-regularized least squares problem (a.k.a. best subsets) is central to sparse statistical learning and has attracted significant attention across the wider statistics, machine learning, and optimization communities. Recent work has shown that modern mixed integer optimization (MIO) solvers can be used to address small to moderate instances of this problem. In spite of the usefulness of L-0-based estimators and generic MIO solvers, there is a steep computational price to pay when compare...
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作者：Cai, Ning; Zhang, Wei
作者单位：Hong Kong University of Science & Technology
摘要：For traditional perpetual American put options under regime-switching models, the risk-free interest rates are typically assumed to be positive, and optimal stopping usually can occur in any regime. However, this may not hold true when the risk-free interest rates are allowed to be equal to zero (the interest rate may drop to zero in reality, e.g., in certain periods in Japan); there may exist continuation regimes within which optimal stopping can never occur, that is, within which stopping is...
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作者：Hu, Ming; Wang, Zizhuo; Feng, Yinbo
作者单位：University of Toronto; University of Minnesota System; University of Minnesota Twin Cities; The Chinese University of Hong Kong, Shenzhen; Shanghai University of Finance & Economics
摘要：We study a two-period model in which a firm faces the problem of deciding whether to commit to sales volume disclosure under market size uncertainty when selling a network good to forward-looking customers who time their purchases. If the first-period sales volume is disclosed, the second-period customers will base their purchase decisions on this information. If the sales volume is not disclosed, all customers will make purchase decisions based on their estimate of market size. We identify tw...
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作者：Mansour, Yishay; Slivkins, Aleksandrs; Syrgkanis, Vasilis
作者单位：Tel Aviv University; Microsoft; Microsoft
摘要：As self-interested individuals (agents) make decisions over time, they utilize information revealed by other agents in the past and produce information that may help agents in the future. This phenomenon is common in a wide range of scenarios in the Internet economy, as well as in medical decisions. Each agent would like to exploit: select the best action given the current information, but would prefer the previous agents to explore: try out various alternatives to collect information. A socia...
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作者：Pedraza-Martinez, Alfonso J.; Hasija, Sameer; Van Wassenhove, Luk N.
作者单位：Indiana University System; IU Kelley School of Business; Indiana University Bloomington; INSEAD Business School; INSEAD Business School
摘要：We study incentive alignment for the coordination of humanitarian operations. Transportation is the second-largest overhead cost (after personnel) for international humanitarian organizations (IHOs). Yet, the management of IHO vehicle fleets faces obstacles to reach efficiency, due to a structural conflict between the incentives of an IHO's individual program (which prioritize prompt service and minimal program cost) and the IHO's central headquarters (which on top of the objective of the prog...
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作者：Lei, Yanzhe (Murray); Jasin, Stefanus
作者单位：Queens University - Canada; University of Michigan System; University of Michigan
摘要：We consider a dynamic pricing problem in a system with reusable resources. Customers arrive randomly over time according to a specified nonstationary rate, and each customer requests a service that uses a combination of different types of resources for a deterministic duration of time. The resources are reusable in the sense that they can be immediately used to serve a new customer on the completion of the previous service. Our objective is to construct a dynamic pricing control that maximizes...
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作者：Atar, Rami; Keslassy, Isaac; Mendelson, Gal
作者单位：Technion Israel Institute of Technology
摘要：Load-balancing algorithms for systems that operate in heavy traffic are known to lead, under suitable conditions, to state space collapse (SSC). This term refers to the phenomenon whereby imbalance is negligible compared with queue lengths. Specifically, whereas queue lengths behave diffusively, the size of imbalance is at a subdiffusive scale: denoting by n the usual scaling parameter, the former and the latter are of order O(n(1/2)) and o(n(1/2)), respectively. In this paper we consider load...
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作者：Ban, Gah-Yi; Rudin, Cynthia
作者单位：University of London; London Business School; Duke University
摘要：We investigate the data-driven newsvendor problem when one has n observations of p features related to the demand as well as historical demand data. Rather than a two-step process of first estimating a demand distribution then optimizing for the optimal order quantity, we propose solving the big data newsvendor problem via singlestep machine-learning algorithms. Specifically, we propose algorithms based on the empirical risk minimization (ERM) principle, with and without regularization, and an...
