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math.ST2021
On robust learning in the canonical change point problem under heavy tailed errors in finite and growing dimensions
Debarghya Mukherjee, Moulinath Banerjee, Ya'acov Ritov
This paper presents a number of new findings about the canonical change point estimation problem. The first part studies the estimation of a change point on the real line in a simp…
math.ST2019
Optimal Linear Discriminators For The Discrete Choice Model In Growing Dimensions
Debarghya Mukherjee, Moulinath Banerjee, Ya'acov Ritov
Manski's celebrated maximum score estimator for the discrete choice model, which is an optimal linear discriminator, has been the focus of much investigation in both the econometri…