Department of Statistics & Operations Research

Sufficient linear complementarity problems: algorithms and computational results Linear complementarity problems (LCP) generalize some fundamental problems of mathematical optimization like linear programming (LP) problem, linearly constrained quadratic programming (LQP) problem and some other. It admits an enormous number of applications … Read more

Models of Patient Access and Payment Parity in Telehealth In response to the increased use of telehealth to replace traditional office visits with a physician, several US states and Medicare have adopted or proposed telehealth payment parity policies. These policies … Read more

Estimation and Inference for Assortment Optimization We present two works on assortment optimization. In the first part, we consider a class of assortment optimization problems in an offline data-driven setting. A firm does not know the underlying customer choice model … Read more

Peter Song, Department of Biostatistics, University of Michigan Title: Supervised Homogeneity Pursuit via Mixed Integer Optimization Abstract: Stratification is one statistical principle in data processing to mitigate the underlying population heterogeneity, which is typically handled by clustering when stratum labels are … Read more