Density Sharpening: Principles and Applications to Discrete Data Analysis

Subhadeep Mukhopadhyay

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arXiv · 2108.07372

Density Sharpening: Principles and Applications to Discrete Data Analysis

Subhadeep Mukhopadhyay

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Abstract

This article introduces a general statistical modeling principle called "Density Sharpening" and applies it to the analysis of discrete count data. The underlying foundation is based on a new theory of nonparametric approximation and smoothing methods for discrete distributions which play a useful role in explaining and uniting a large class of applied statistical methods. The proposed modeling framework is illustrated using several real applications, from seismology to healthcare to physics.

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Subhadeep Mukhopadhyay. 2021-08-21. Density Sharpening: Principles and Applications to Discrete Data Analysis. https://arxiv.org/abs/2108.07372

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