arXiv 16 Aug 2021 · Statistics — Methodology · 1 citations (OpenAlex)
arXiv:2108.07372 · PDF · DOI · OpenAlex · Extracted main text
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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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| box2001dis | unmatched citation key box2001dis | 0.511 | 2 | 1 | 100% |
| acharya2015optimal | unmatched citation key acharya2015optimal | 0.405 | 1 | 1 | 100% |
| aldous1986 | unmatched citation key aldous1986 | 0.405 | 1 | 1 | 100% |
| beran1988 | unmatched citation key beran1988 | 0.405 | 1 | 1 | 100% |
| bernreuter1981seismic | unmatched citation key bernreuter1981seismic | 0.405 | 1 | 1 | 100% |
| castelvecchi2018lhc | unmatched citation key castelvecchi2018lhc | 0.405 | 1 | 1 | 100% |
| cowan2007 | unmatched citation key cowan2007 | 0.405 | 1 | 1 | 100% |
| csorgHo1983quantile | unmatched citation key csorgHo1983quantile | 0.405 | 1 | 1 | 100% |
| de1713essay | unmatched citation key de1713essay | 0.405 | 1 | 1 | 100% |
| diaconis2018bayGOF | unmatched citation key diaconis2018bayGOF | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 64 scored citations. 10 of these could not be matched to a bibliography entry, so only the citation key is shown.