Publications

Publications

Filter Results: (2) Arrow Down

Show Results For

High-dimensional DataRemove High-dimensional Data →

Page 1 of 2 Results

Are you looking for?

→Search All HBS Web
  • 2019
  • Working Paper

Large-Scale Demand Estimation with Search Data

By: Tomomichi Amano, Andrew Rhodes and Stephan Seiler
In many online markets, traditional methods of demand estimation are difficult to implement because assortments are very large and individual products are sold infrequently. At the same time, data on consumer search (i.e., browsing) behavior are often available and are... View Details
Keywords: High-dimensional Data; Demand Estimation; Consideration Sets; Consumer Search
Related
  • Article

Fast Generalized Subset Scan for Anomalous Pattern Detection

By: Edward McFowland III, Skyler Speakman and Daniel B. Neill
We propose Fast Generalized Subset Scan (FGSS), a new method for detecting anomalous patterns in general categorical data sets. We frame the pattern detection problem as a search over subsets of data records and attributes, maximizing a nonparametric scan statistic... View Details
Keywords: Pattern Detection; Anomaly Detection; Knowledge Discovery; Bayesian Networks; Scan Statistics; Analytics and Data Science
Related

Are you looking for?

→Search All HBS Web