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math.PR2026

Optimal Quantization for Nonuniform Densities on Spherical Curves

Silpi Saha, Sangita Jha, Mrinal Kanti Roychowdhury

We present an analysis of optimal quantization of probability measures with nonuniform densities on spherical curves. We begin by deriving the centroid condition, followed by a hig…

math.PR2025

Optimal Sets and Quantization Errors under Geometric Constraints for Discrete Distributions

Prabhat Tamrakar, Bismark Bimpong, S. K. Katiyar +2

This paper presents a detailed study of constrained quantization for both finite and infinite discrete probability distributions supported on subsets of the real line. Under specif…

math.PR2024

Conditional Optimal Sets and the Quantization Coefficients for Some Uniform Distributions

Evans Nyanney, Megha Pandey, Mrinal Kanti Roychowdhury

Bucklew and Wise (1982) showed that the quantization dimension of an absolutely continuous probability measure on a given Euclidean space is constant and equals the Euclidean dimen…

math.PR2024

Conditional quantization for uniform distributions on line segments and regular polygons

Pigar Biteng, Mathieu Caguiat, Tsianna Dominguez +1

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…

math.PR2024

Conditional constrained and unconstrained quantization for uniform distributions on regular polygons

Christina Hamilton, Evans Nyanney, Megha Pandey +1

In this paper, we have considered a uniform distribution on a regular polygon with -sides for some and the set of all its vertices as a conditional set. For the un…

math.PR2023

Constrained quantization for a uniform distribution

Pigar Biteng, Mathieu Caguiat, Dipok Deb +2

Constrained quantization for a Borel probability measure refers to the idea of estimating a given probability by a discrete probability with a finite number of supporting points ly…