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Multi-index Binary Response Analysis of Large Datasets
Journal of Business and Economic Statistics, 2010

In this paper, Professor Prasad Naik and co-authors Michel Wedel from the University of Maryland and Wagner Kamakura from Duke University propose a multi-index binary response model for analyzing large databases (i.e., with many regressors). The authors combine many regressors into factors (or indexes) and then estimate the link function via parametric or nonparametric methods.