Context-sensitive hypothesis-testing and exponential families

Fuente: arXiv
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Autori principali: Kelbert, Mark, Suhov, Yuri
Natura: Preprint
Pubblicazione: 2024
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author Kelbert, Mark
Suhov, Yuri
author_facet Kelbert, Mark
Suhov, Yuri
contents We propose a number of concepts and properties related to `weighted' statistical inference where the observed data are classified in accordance with a `value' of a sample string. The motivation comes from the concepts of weighted information and weighted entropy that proved useful in industrial/microeconomic and medical statistics. We focus on applications relevant in hypothesis testing and an analysis of exponential families. Several notions, bounds and asymptotics are established, which generalize their counterparts well-known in standard statistical research. It includes Stein-Sanov theorem, Pinsker's, Bretangnole-Huber and van Trees inequalities and Kullback--Leibler, Bhattacharya, Bregman, Burbea-Rao, Chernoff, Renyi and Tsallis divergences.
format Preprint
id arxiv_https___arxiv_org_abs_2407_20894
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Context-sensitive hypothesis-testing and exponential families
Kelbert, Mark
Suhov, Yuri
Statistics Theory
62C05, 62F03, 62F10
We propose a number of concepts and properties related to `weighted' statistical inference where the observed data are classified in accordance with a `value' of a sample string. The motivation comes from the concepts of weighted information and weighted entropy that proved useful in industrial/microeconomic and medical statistics. We focus on applications relevant in hypothesis testing and an analysis of exponential families. Several notions, bounds and asymptotics are established, which generalize their counterparts well-known in standard statistical research. It includes Stein-Sanov theorem, Pinsker's, Bretangnole-Huber and van Trees inequalities and Kullback--Leibler, Bhattacharya, Bregman, Burbea-Rao, Chernoff, Renyi and Tsallis divergences.
title Context-sensitive hypothesis-testing and exponential families
topic Statistics Theory
62C05, 62F03, 62F10
url https://arxiv.org/abs/2407.20894