Conditional Quantization for Some Discrete Distributions

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 finite support are preselected, then the quantization is called a conditional quantization. In this paper, we have determined the conditional quantization, first for two different finite discrete distributions with a same conditional set, and for a finite discrete distribution with two different conditional sets. Next, we have determined the conditional and unconditional quantization for an infinite discrete distribution with support {12n:n∈N}. We have also investigated the conditional quantization for an infinite discrete distribution with support {1n:n∈N}. At the end of the paper, we have given a conjecture and discussed about some open problems based on the conjecture.

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Journal
Mathematics
Published
2025-05-23
DOI
https://doi.org/10.3390/math13111717
Primary Topic
Advanced Data Compression Techniques
Type
article
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article

Conditional Quantization for Some Discrete Distributions

Mrinal Kanti Roychowdhury, David Salinas, Edgar González, Vishal Veeramachaneni
Mathematics
Advanced Data Compression Techniques
article

Conditional Quantization for Some Discrete Distributions

Mrinal Kanti Roychowdhury, David Salinas, Edgar González, Vishal Veeramachaneni
article en

Abstract

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 finite support are preselected, then the quantization is called a conditional quantization. In this paper, we have determined the conditional quantization, first for two different finite discrete distributions with a same conditional set, and for a finite discrete distribution with two different conditional sets. Next, we have determined the conditional and unconditional quantization for an infinite discrete distribution with support {12n:n∈N}. We have also investigated the conditional quantization for an infinite discrete distribution with support {1n:n∈N}. At the end of the paper, we have given a conjecture and discussed about some open problems based on the conjecture.

MathematicsVol. 13(11)
The University of Texas Rio Grande Valley (US)
Openalex Percentile: Top 91%
Advanced Data Compression Techniques
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Conditional Quantization for Some Discrete Distributions — Mrinal Kanti Roychowdhury, David Salinas, et al. · Mathematics (2025) | TGRS Research Map | TGRS