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.
Authors
- Mrinal Kanti Roychowdhury (ORCID: https://orcid.org/0009-0005-6613-0769)
- David Salinas
- Edgar González (ORCID: https://orcid.org/0000-0003-3103-3959)
- Vishal Veeramachaneni
Institutions
- The University of Texas Rio Grande Valley (US)
Publication Details
- Journal
- Mathematics
- Published
- 2025-05-23
- DOI
- https://doi.org/10.3390/math13111717
- Primary Topic
- Advanced Data Compression Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00