Eric Bradlow

67 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-4776-2323

Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104

Publications

A Bayesian Dual Clustering Approach for Selecting Data and Parameter Granularities — Marketing Science 2026
More Likely to Pay but Less Engaged: The Effects of Switching Online Courses from Scheduled to On-Demand Release on User Behavior — Journal of Marketing 2024
“Statistical Significance” and Statistical Reporting: Moving Beyond Binary — Journal of Marketing 2024
Testing Theories of Goal Progress in Online Learning — Journal of Marketing Research 2022
Selecting Data Granularity and Model Specification Using the Scaled Power Likelihood with Multiple Weights — Marketing Science 2022
A Flexible Demand Model for Complements Using Household Production Theory — Marketing Science 2020
Customer Acquisition via Display Advertising Using Multi-Armed Bandit Experiments — Marketing Science 2017
A Cross-Cohort Changepoint Model for Customer-Base Analysis — Marketing Science 2017
Measuring Multichannel Advertising Response — Management Science 2017
Commentaries and Reply on “Predicting Customer Value Using Clumpiness: From RFM to RFMC” by Yao Zhang, Eric T. Bradlow, and Dylan S. Small — Marketing Science 2015
Stockpiling Points in Linear Loyalty Programs — Journal of Marketing Research 2015
Predicting Customer Value Using Clumpiness: From RFM to RFMC — Marketing Science 2015
Introduction to the Special Issue on Business Analytics — Management Science 2014
Model Selection Using Database Characteristics: Developing a Classification Tree for Longitudinal Incidence Data — Marketing Science 2014
PIE: A Holistic Preference Concept and Measurement Model — Journal of Marketing Research 2014
A Bayesian approach for predicting the popularity of tweets — The Annals of Applied Statistics 2014
Call for Papers—Marketing ScienceSpecial Issue on Big Data: Integrating Marketing, Statistics, and Computer Science — Marketing Science 2013 (name-matched, not ORCID-linked)
Fusing Aggregate and Disaggregate Data with an Application to Multiplatform Media Consumption — Journal of Marketing Research 2013
From Karen to Katie — Psychological Science 2012
Visual Influence and Social Groups — Journal of Marketing Research 2012
Call for Papers—Special Issue ofManagement Science: Business Analytics — Management Science 2012 (name-matched, not ORCID-linked)
Call for Papers—Special Issue ofManagement Science: Business Analytics — Management Science 2012 (name-matched, not ORCID-linked)
Call for Papers—Special Issue ofManagement Science: Business Analytics — Management Science 2012 (name-matched, not ORCID-linked)
Call for Papers—Special Issue ofManagement Science: Business Analytics — Management Science 2012 (name-matched, not ORCID-linked)
Call for Papers—Special Issue ofManagement Science: Business Analytics — Management Science 2012
Call for Papers—Special Issue ofManagement Science: Business Analytics — Management Science 2012 (name-matched, not ORCID-linked)
Automated Marketing Research Using Online Customer Reviews — Journal of Marketing Research 2011
Foreword—Revisiting the Workshop on Quantitative Marketing and Structural Econometrics — Marketing Science 2011
Portfolio Dynamics for Customers of a Multiservice Provider — Management Science 2011
Editorial—It's Never Good-bye to Marketing Science — Marketing Science 2010
Structural Estimation of the Effect of Out-of-Stocks — Management Science 2010
Editorial—Does EverythingNotBeing Resolved Equal Nothing Gained? Bringing in the Wisdom of the Academic Crowd — Marketing Science 2009
Editorial—Marketing Science and the Financial Crisis — Marketing Science 2009
Editorial—Analytical Transparency — Marketing Science 2009
Path Data in Marketing: An Integrative Framework and Prospectus for Model Building — Marketing Science 2009
Statement from the Editor Regarding “‘Counting Your Customers’ One by One: A Hierarchical Bayes Extension to the Pareto/NBD Model” — Marketing Science 2009
Testing Behavioral Hypotheses Using an Integrated Model of Grocery Store Shopping Path and Purchase Behavior — Journal of Consumer Research 2009
Does In-Store Marketing Work? Effects of the Number and Position of Shelf Facings on Brand Attention and Evaluation at the Point of Purchase — Journal of Marketing 2009
Research Note—The Traveling Salesman Goes Shopping: The Systematic Deviations of Grocery Paths from TSP Optimality — Marketing Science 2009
Barter Markets for Conjoint Analysis — Management Science 2009
Understanding Service Retention within and across Cohorts using Limited Information — Journal of Marketing 2008
A Bivariate Timing Model of Customer Acquisition and Retention — Marketing Science 2008
Editorial—Enticing and Publishing the Home Run Paper — Marketing Science 2008
Editorial—The Scientific Process at Its Best — Marketing Science 2008
Who's Got the Coupon? Estimating Consumer Preferences and Coupon Usage from Aggregate Information — Journal of Marketing Research 2008
Editorial—Database Submissions — Marketing Science 2008
Editorial—Maximizing Impact via Database Submissions — Marketing Science 2008
Bayesian Estimation of Bid Sequences in Internet Auctions Using a Generalized Record-Breaking Model — Marketing Science 2007
A Feature-Based Approach to Assessing Advertisement Similarity — Journal of Marketing Research 2006
Promises and lies: Restoring violated trust — Organizational Behavior and Human Decision Processes 2006
Modeling the “Pseudodeductible” in Insurance Claims Decisions — Management Science 2006
An Integrated Model for Bidding Behavior in Internet Auctions: Whether, Who, When, and how Much — Journal of Marketing Research 2005
A Learning-Based Model for Imputing Missing Levels in Partial Conjoint Profiles — Journal of Marketing Research 2004
Modeling Behavioral Regularities of Consumer Learning in Conjoint Analysis — Journal of Marketing Research 2004
A Unified Approach to Conjoint Analysis Models — Journal of the American Statistical Association 2002
Rejoinder to “The Variety of an Assortment: An Extension to the Attribute-Based Approach” — Marketing Science 2002
Subscale Distance and Item Clustering Effects in Self-Administered Surveys: A New Metric — Journal of Marketing Research 2001
A Bayesian Lifetime Model for the “Hot 100”BillboardSongs — Journal of the American Statistical Association 2001
Continuous and Discrete Variables — Journal of Consumer Psychology 2000
The Little Engines That Could: Modeling the Performance of World Wide Web Search Engines — Marketing Science 2000
A Hierarchical Bayes Model for Assortment Choice — Journal of Marketing Research 2000
Other Multivariate Techniques — Journal of Consumer Psychology 2000
The Variety of an Assortment — Marketing Science 1999
A Hierarchical Latent Variable Model for Ordinal Data from a Customer Satisfaction Survey with “No Answer” Responses — Journal of the American Statistical Association 1999
Why Analyst Overconfidence About the Functional Form of Demand Models Can Lead to Overpricing — Marketing Science 1999
Bayesian Identification of Outliers in Computerized Adaptive Tests — Journal of the American Statistical Association 1998
Correlation Curves as Local Measures of Variance Explained by Regression — Journal of the American Statistical Association 1994