Random Projection Estimation of Discrete-Choice Models with Large Choice Sets

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Matthew Shum of Cal Tech discusses the use of machine learning ideas in the estimation of discrete choice models, the workhorse model of demand in economics and marketing. He demonstrated the use with large, high-dimensional data sets now available from online markets and large retailers.
  1. Becker Friedman Institute University of Chicago
  2. BFI
  3. Becker Friedman Institute
  4. University of Chicago
  5. machine learning
  6. statistics
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