2 papers
cs.LG2026
Estimation, Prediction, and Assortment Optimization for Markov Chain Choice Models with Panel Data
Yalcin Akcay, Gerardo Berbeglia, Young-San Lin
We propose a framework for the Markov chain (MC) choice model with panel data, including parameter estimation, personalized choice prediction, and personalized assortment optimizat…
math.OC2024
Approximate Resolution of Stochastic Choice-based Discrete Planning
Jiajie Zhang, Yun Hui Lin, Gerardo Berbeglia
Stochastic choice-based discrete planning is a broad class of decision-making problems characterized by a sequential decision-making process involving a planner and a group of cust…