Best AI papers explained
A podcast by Enoch H. Kang
442 Episodes
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Knowledge of the Firm and Replication of Technology
Published: 4/12/2025 -
Firm Resources and Sustained Competitive Advantage
Published: 4/12/2025 -
Evaluating Pharmaceutical Marketing to Physicians with Panel Data
Published: 4/12/2025 -
Theory of the firm in the era of Agents
Published: 4/12/2025 -
Large Language Models: An Applied Econometric Framework
Published: 4/12/2025 -
Evaluating the World Model Implicit in a Generative Model
Published: 4/12/2025 -
Machine Learning for Hypothesis Generation in Social Science
Published: 4/11/2025 -
Active Learning for Moral Preference Elicitation: Challenges and Nuances
Published: 4/11/2025 -
Gradient-Based Surveys for Nonparametric Discrete Choice Experiments
Published: 4/11/2025 -
Explainable Data-driven Share-of-choice Product Line Design Optimization
Published: 4/11/2025 -
The More You Ask, the Less You Get: When Additional Questions Hurt External Validity
Published: 4/11/2025 -
Conjoint topics from Handbook of Marketing Analytics: Methods and Applications
Published: 4/11/2025 -
Choice-Based Conjoint Analysis: Methods and Applications
Published: 4/11/2025 -
Beyond Conjoint Analysis: The Future of Preference Measurement
Published: 4/11/2025 -
An Optimization Framework for Adaptive Questionnaire Design
Published: 4/11/2025 -
Adaptive Self-Explication of Multiattribute Preferences
Published: 4/11/2025 -
Conjoint Analysis: Methods, Applications, and Recent Developments
Published: 4/11/2025 -
Current Issues and a “Wish List” for Conjoint Analysis
Published: 4/11/2025 -
Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis
Published: 4/11/2025 -
Adaptive Polyhedral Methods for Conjoint Analysis
Published: 4/11/2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.