3 papers
math.NA2023
Infinite-Variate -Approximation with Nested Subspace Sampling
Kumar Harsha, Michael Gnewuch, Marcin Wnuk
We consider -approximation on weighted reproducing kernel Hilbert spaces of functions depending on infinitely many variables. We focus on unrestricted linear information, admi…
cs.IT2022
Second-Order Asymptotics of Hoeffding-Like Hypothesis Tests
K. V. Harsha, Jithin Ravi, Tobias Koch
We consider a binary statistical hypothesis testing problem, where independent and identically distributed random variables are either distributed according to the null h…
math.ST2018
Some Information Inequalities for Statistical Inference
Harsha K, Alladi Subramanyam
In this paper, we first describe the generalized notion of Cramer-Rao lower bound obtained by Naudts (2004) using two families of probability density functions, the original model…