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作者：Minca, Andreea; Wissel, Johannes
作者单位：Cornell University
摘要：We introduce a new mechanism for leverage dynamics, based on a multiperiod game of lenders with differentiated beliefs about the firm's fundamental returns. The game features strategic substitutability for low existing leverage and strategic complementarily for high existing leverage. The resulting leverage process exhibits a mean-reverting regime around a long-run level, as long as it stays below an instability level. Above the instability level, leverage becomes explosive. We validate our mo...
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作者：Li, Hongmin
作者单位：Arizona State University; Arizona State University-Tempe
摘要：We develop a solution approach to the centralized pricing problem of a firm managing multiple substitutable products. Demand of these products undergoes a diffusion process, and customers choose among the products, with the choice probability of each product given by the logit model. We examine the firm's optimal pricing problem when product demand can be described by such diffusion-choice models. In particular, we focus on two models with proven merits and study a generalized version of the t...
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作者：Gallego, Guillermo; Li, Anran; Van-Anh Truong; Wang, Xinshang
作者单位：Hong Kong University of Science & Technology; University of London; London School Economics & Political Science; Columbia University; Alibaba Group; Shanghai Jiao Tong University
摘要：We propose one of the first models of product framing and pricing. Product framing refers to the way consumer choice is influenced by how the products are framed or displayed. We present a model in which a set of products is displayed or framed into a set of virtual web pages. We assume that consumers consider only products in the top pages with different consumers willing to see different numbers of pages. Consumers select a product, if any, from these pages following a general choice model. ...
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作者：van der Gaast, Jelmer P.; de Koster, Rene B. M.; Adan, Ivo J. B. F.; Resing, Jacques A. C.
作者单位：Fudan University; Erasmus University Rotterdam; Erasmus University Rotterdam - Excl Erasmus MC
摘要：This paper develops a capacity model for sequential zone picking systems. These systems are popular internal transport and order-picking systems because of their scalability, flexibility, high-throughput ability, and fit for use for a wide range of products and order profiles. The major disadvantage of such systems is congestion and blocking under heavy use, leading to long order throughput times. To reduce blocking and congestion, most systems use the block-and-recirculate protocol to dynamic...
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作者：Paradiso, Rosario; Roberti, Roberto; Lagana, Demetrio; Dullaert, Wout
作者单位：University of Calabria; Vrije Universiteit Amsterdam; University of Calabria
摘要：Multitrip vehicle-routing problems (MTVRPs) generalize the well-known VRP by allowing vehicles to perform multiple trips per day. MTVRPs have received a lot of attention lately because of their relevance in real-life applications-for example, in city logistics and last-mile delivery. Several variants of the MTVRP have been investigated in the literature, and a number of exact methods have been proposed. Nevertheless, the computational results currently available suggest that MTVRPs with differ...
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作者：Strub, Moris S.; Li, Duan
作者单位：Southern University of Science & Technology; City University of Hong Kong
摘要：The current literature on behavioral portfolio optimization with reference point updating assumes that the decision maker foresees how the reference point will evolve and thus solves a time-consistent problem formulation. Empirical findings, however, suggest that decision makers often fail to foresee the updating of the reference point and consequently make time-inconsistent decisions. We analyze and compare the optimal investment strategies for a discrete time behavioral portfolio optimizatio...
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作者：Bienkowski, Marcin; Bohm, Martin; Byrka, Jaroslaw; Chrobak, Marek; Durr, Christoph; Folwarczn, Lukas; Jez, Lukasz; Sgall, Jiri; Nguyen Kim Thang; Vesely, Pavel
作者单位：University of Wroclaw; University of Bremen; Charles University Prague; University of California System; University of California Riverside; Sorbonne Universite; Centre National de la Recherche Scientifique (CNRS); Czech Academy of Sciences; Institute of Mathematics of the Czech Academy of Sciences; Universite Paris Cite; Universite Paris Saclay; University of Warwick
摘要：In the multilevel aggregation problem (MLAP), requests arrive at the nodes of an edge-weighted tree J and have to be served eventually. A service is defined as a subtree X of J that contains the root of J. This subtree X serves all requests that are pending in the nodes of X, and the cost of this service is equal to the total weight of X. Each request also incurs waiting cost between its arrival and service times. The objective is to minimize the total waiting cost of all requests plus the tot...
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作者：Lu, Xuefei; Rudi, Alessandro; Borgonovo, Emanuele; Rosasco, Lorenzo
作者单位：Bocconi University; Universite PSL; Ecole Normale Superieure (ENS); Inria; University of Genoa; Massachusetts Institute of Technology (MIT); Istituto Italiano di Tecnologia - IIT
摘要：Kriging is one of the most widely used emulation methods in simulation. However, memory and time requirements potentially hinder its application to data sets generated by high-dimensional simulators. We borrow from the machine learning literature to propose a new algorithmic implementation of kriging that, while preserving prediction accuracy, notably reduces time and memory requirements. The theoretical and computational foundations of the algorithm are provided. The work then reports results...
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作者：Bastani, Hamsa; Bayati, Mohsen
作者单位：University of Pennsylvania; Stanford University
摘要：Big data have enabled decision makers to tailor decisions at the individual level in a variety of domains, such as personalized medicine and online advertising. Doing so involves learning a model of decision rewards conditional on individual-specific covariates. In many practical settings, these covariates are high dimensional; however, typically only a small subset of the observed features are predictive of a decision's success. We formulate this problem as a K-armed contextual bandit with hi...
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作者：Chen, Ye; Ryzhov, Ilya O.
作者单位：Virginia Commonwealth University; University System of Maryland; University of Maryland College Park; University System of Maryland; University of Maryland College Park
摘要：Approximate Bayesian inference is a powerful methodology for constructing computationally efficient statistical mechanisms for sequential learning from incomplete or censored information. Approximate Bayesian learning models have proven successful in a variety of operations research and business problems; however, prior work in this area has been primarily computational, and the consistency of approximate Bayesian estimators has been a largely open problem. We develop a new consistency theory ...
