Prediction and Stochastic Choice
Year: 2024
Type: article
Abstract: In this paper, we study a non-parametric approach to prediction in stochastic choice models in economics. We show that VC complexity characterises the predictability of stochastic choice models. We establish prediction methods and provide corresponding rates of convergence.
Author: Pathikrit Basu
Institution: California Institute of Technology
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4402078660
