JSM Sessions
Joint Statistical Meetings
The ASA Marketing Section organizes sessions at the Joint Statistical Meetings (JSM), the largest annual gathering of statisticians in North America. These sessions highlight cutting-edge research at the intersection of marketing and statistics.
JSM 2026 — Boston, MA
Detailed information with talk abstractsInvited Paper Session
A/B Testing Beyond Tech: Novel Methods for a New Era of Experimentation
Organizers: Nicholas Beyler (Stitch Fix), Frank Yoon (Google)
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"Launch Decision Performance in Underpowered A/B Tests with AI-Assisted Summarization"Nicholas Beyler (Stitch Fix)
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"Evaluating A/B Testing Methodologies via Sample Splitting: Theory and Practice"Ryan Kessler (Amazon)
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"When Design Shapes the Policy: Balancing Business Needs with Experimentation Feasibility"Frank Yoon (Google) — with Natalia Ordaz Reynoso (Google), Nitin Jain
Invited Paper Session
Statistical Frontiers in Marketing
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"Learning Robust Surrogate Indices from Many Experiments"Madhav Kumar — with Dean Eckles
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"Online Sequential Decision-Making with Reinforcement Learning: From Robotics to Marketing"Ran Chen (Washington University in St. Louis)
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"Customer Scores"Blakeley McShane (Northwestern University)
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"Valuing Winners: When and How to Correct for Selection Bias in Randomized Experiments"Walter Zhang (University of Pennsylvania)
Topic-Contributed Paper Session
2026 ASA Statistics in Marketing Doctoral Research Award Finalists Presentation
Organizers: Shibo Li, Gourab Mukherjee (University of Southern California) · Chair: Shibo Li
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"AI for Customer Journeys: A Transformer Approach"Zipei Lu (University of Maryland)
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"Blind Targeting: Personalization under Third-Party Privacy Constraints"Anya Shchetkina (The Wharton School)
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"Correcting Endogeneity via Nonparametric Copula Control Functions"Xixi Hu (University of British Columbia)
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"How Visual Designs Drive Success: Interpretable Generative AI for Data-Driven Design"Lan Luo
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"Reference-Dependent Pricing"Ningyin Xu (University of Chicago)
Mixer Meeting
Section on Statistics in Marketing Mixer
JSM 2025 — Nashville, TN
Invited Paper Session
Probabilistic Machine Learning in Marketing
Organizer & Chair: Hortense Fong
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"A Bayesian Approach to Inferring the Effects of Events Using Cohorted Data"Shin Oblander (University of British Columbia) — with Leyao Tan
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"Graph Representation Learning for Inferring Market Structure"Mingyung Kim (Fisher College of Business, Ohio State University)
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"Thin But Not Forgotten: Deep Kernel Learning for Credit Risk Modeling with High-Dimensional Missingness"Longxiu Tian (UNC Kenan-Flagler Business School)
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"Unified Marketing Measurement: How to fuse experimental data with marketing mix data?"Nicolas Padilla (London Business School) — with Ryan Dew (Wharton)
Topic-Contributed Paper Session
2025 ASA Statistics in Marketing Doctoral Research Award Finalists Presentation
Organizers: Shibo Li, Hortense Fong · Chair: Shibo Li
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"A New Estimator for Encouragement Design in Randomized Controlled Trials When the Exclusion Restriction Is Violated"Guangying Chen (Washington University in St. Louis, Olin)
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"A Representative Sampling Method for Peer Encouragement Designs in Network Experiments"Yanyan Li (University of Southern California, Marshall)
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"Algorithmic Collusion of Pricing and Advertising on E-commerce Platforms"Hangcheng Zhao (University of Pennsylvania, Wharton)
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"Attribution and Compensation Design in Online Advertising"Yunhao Huang (University of California Berkeley, Haas)
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"What Makes for A Good Thumbnail? Video Content Summarization into A Single Image"Jasmine Yang (Columbia University)
Mixer Meeting
Section on Statistics in Marketing Mixer