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On Reliability Hypothesis Testing for Continuous Object with Quantization

Year: 2025

Type: conference-paper

Abstract: The problem of logarithmically asymptotically optimal hypothesis testing for a continuous random variable (CRV) is considered.It is assumed that M continuous probability distributions (CPDs) are known, and the object described by the CRV follows one of them.This problem, in the case of discrete probability distributions, was introduced and extensively studied in [1].In this paper, a quantization method is applied to continuous distributions.Some known results are generalized and reformulated for the continuous case.

DOI: 10.51408/csit2025_45

Authors: Aram Yesayan, Artak Martirosyan

Institution: Fondation Université Française en Arménie

Language: English

Topic: Distributed Sensor Networks and Detection Algorithms

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4414454205

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