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2013-5: Bayesian Social Learning from Consumer Reviews (B. Ifrach, C. Maglaras, M. Scarsini)
2013-4: Optimal Price and Delay Differentiation in Queueing Systems (C. Maglaras, J. Yao, A. Zeevi)
2013-3: Network Pricing and The Price of Anarchy (R. Phillips, A. S. Simsek)
2013-2: Revenue Maximization via Sequential Bilateral Negotiations (N. Ayvaz-Cavdaroglu, S. Kachani and C. Maglaras)
2013-1: Optimizing Prices for Consumer Credit (R. Phillips)
2012-4: Endogeneity and Price Sensitivity in Customized Pricing (R. Phillips, A.S. Simsek, G. van Ryzin)
2012-3: On the (surprising) sufficiency of linear models for dynamic pricing with demand learning (O. Besbes and A. Zeevi)
2012-2: Assortment Optimization under Variants of the Nested Logit Model (J. Davis, H. Topaloglu and G. Gallego)
2012-1: Multi-Product Price Optimization and Competition under the Nested Logit Model with Product-Differentiated Price Sensitivities (G. Gallego and R. Wang)
2011-4: A General Attraction Model and an Efficient Formulation for the Network Revenue Management Problem (G. Gallego, R. Ratliff and S. Shebalov)
2011-3: Price-Driven Adverse Selection in Consumer Lending (R. Phillips and R. Raffard)
2011-2: Coordinating Vertical Partnerships for Horizontally Differentiated Products (W. Ke and G. van Ryzin)
2011-1: Revenue Management of Consumer Options for Sporting Events (S.R. Balseiro, G. Gallego, C. Gocmen, and R. Phillips)
2010-3: A Maximum Entropy Joint Demand Estimation and Capacity Control Policy (C. Maglaras and S. Eren)
2010-2: Service Engineering: The Future of Service Feature Design and Pricing (G. Gallego and C. Stefanescu)
2010-1: Customized Pricing (R. Phillips)
2009-2: Estimating Primary Demand for Substitutable Products from Sales Transaction Data (G. Vulcano, G. van Ryzin, and R. Ratliff)
2009-1: Creating Sales with Stock-Outs (L. Debo and G. van Ryzin)
How Accurate Are Online Reviews?
Professor Omar Besbes with Marco Scarsini (Singapore University of Technology and Design) investigate how a consumer's knowledge of previous reviews distorts his own ratings.
BUSINESS ANALYTICS BLOG
Can colleges achieve "elite" status (low acceptance rates and high yield rates) by collecting and managing applicants' data?
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