• Corpus ID: 237142629

Density Sharpening: Principles and Applications to Discrete Data Analysis

@inproceedings{Mukhopadhyay2021DensitySP,
  title={Density Sharpening: Principles and Applications to Discrete Data Analysis},
  author={Subhadeep Mukhopadhyay},
  year={2021}
}
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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