72 citations · 231 across the 61 of their papers we have counts for
4 papers · 2 filters
On the Symmetry of Limiting Distributions of M-estimators
Arunav Bhowmick, Arun Kumar Kuchibhotla
Many functionals of interest in statistics and machine learning can be written as minimizers of expected loss functions. Such functionals are called -estimands, and can be estim…
Assumption-Lean Honest Inference for -functionals
Woonyoung Chang, Arun Kumar Kuchibhotla
We develop a general assumption-lean framework for constructing uniformly valid confidence sets for functionals defined by moment equalities, referred to as -functionals. Our ap…
Generalized van Trees inequality: Local minimax bounds for non-smooth functionals and irregular statistical models
Kenta Takatsu, Arun Kumar Kuchibhotla
In a decision-theoretic framework, the minimax lower bound provides the worst-case performance of estimators relative to a given class of statistical models. For parametric and sem…
Inference for Median and a Generalization of HulC
Manit Paul, Arun Kumar Kuchibhotla
It is well-documented in the literature that sample splitting offers significant methodological and theoretical advantages in statistical inference. This, for example, includes cro…