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University College London - UCL School of Management
Targeting, Personalization, Heterogeneity, Choice Models, Machine Learning
targeting, personalization, heterogeneity, choice models, machine learning
price elasticities, category demand, price promotions, random partition models, Bayesian inference
multi-category demand, nonparametric demand estimation, Bernstein polynomials, model misspecification, omitted variable bias
Hierarchical Priors, Global-Local Priors, Non-Sparse Shrinkage, Horseshoe, Seemingly Unrelated Regression, Price Elasticities
Bayesian inference, location-scale family, Polya urn, Markov chain Monte Carlo, price elasticity
Outside good, satiation, multiple discreteness, price elasticity, category pricing
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Choice Models, Heterogeneity, Machine Learning, Personalization, targeting
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