Conditional quantization for uniform distributions on line segments and regular polygons

Fuente: arXiv
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Main Authors: Biteng, Pigar, Caguiat, Mathieu, Dominguez, Tsianna, Roychowdhury, Mrinal Kanti
Format: Preprint
Published: 2024
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_version_ 1866908276326662144
author Biteng, Pigar
Caguiat, Mathieu
Dominguez, Tsianna
Roychowdhury, Mrinal Kanti
author_facet Biteng, Pigar
Caguiat, Mathieu
Dominguez, Tsianna
Roychowdhury, Mrinal Kanti
contents Quantization for a Borel probability measure refers to the idea of estimating a given probability by a discrete probability with support containing a finite number of elements. If in the quantization some of the elements in the support are preselected, then the quantization is called a conditional quantization. In this paper, we investigate the conditional quantization for the uniform distributions defined on the unit line segments and $m$-sided regular polygons, where $m\geq 3$, inscribed in a unit circle.
format Preprint
id arxiv_https___arxiv_org_abs_2402_08036
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Conditional quantization for uniform distributions on line segments and regular polygons
Biteng, Pigar
Caguiat, Mathieu
Dominguez, Tsianna
Roychowdhury, Mrinal Kanti
Probability
60Exx, 94A34
Quantization for a Borel probability measure refers to the idea of estimating a given probability by a discrete probability with support containing a finite number of elements. If in the quantization some of the elements in the support are preselected, then the quantization is called a conditional quantization. In this paper, we investigate the conditional quantization for the uniform distributions defined on the unit line segments and $m$-sided regular polygons, where $m\geq 3$, inscribed in a unit circle.
title Conditional quantization for uniform distributions on line segments and regular polygons
topic Probability
60Exx, 94A34
url https://arxiv.org/abs/2402.08036