High-dimensional Data - Publications - Faculty & Research

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

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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

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24 Apr 2019
HBS Seminar

Dimitris Papanikolaou, Kellogg School of Management, Northwestern University

03 Apr 2025
HBS Seminar

Ziad Obermeyer, UC Berkeley School of Public Health

Web

Students on the Job Market - Doctoral

treated. Using this quasi-exogenous variation, monthly repurchase data and a staggered DiD design, my main tests find that the modernized rule reduces share repurchases amounts, primarily by reducing the number of firms repurchasing. In... View Details

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