Nonparametric Density Estimation
Nonparametric Density Estimation is a statistical method for estimating probability density functions without assuming a fixed parametric form, distinguishing it from parametric approaches by relying solely on the data to determine the shape of the distribution.
781
Publications
74K
Citations
1.4K
Authors
632
Institutions
Publications per year
2017–2026
96
Variants
Non-parametric Density Estimation
781
Estimating Continuous Distributions in Bayesian Classifiers
George H. John, Pat Langley · arXiv (Cornell University) · 2013 · 2.9K citations · Full text
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University of North Carolina at Chapel Hill, United States
8 publications · 434 citations
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632

Australian National University
Canberra, Australia
19 h-index
39 publications
4.5K citations

Centre National de la Recherche Scientifique
Paris, France
15 h-index
32 publications
921 citations
Carnegie Mellon University
Pittsburgh, United States
12 h-index
39 publications
2.4K citations
Université Paris Cité
Paris, France
12 h-index
21 publications
3.4K citations
Georgia Institute of Technology
Atlanta, United States
12 h-index
21 publications
989 citations
University of California, Berkeley
Berkeley, United States
12 h-index
24 publications
2K citations
Stanford University
Stanford, United States
11 h-index
20 publications
10.7K citations

Sorbonne Université
Paris, France
10 h-index
12 publications
981 citations
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72 publications · 8.8K citations
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60 publications · 8.6K citations
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CSDA · 21 publications · 583 citations
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30 publications · 802 citations
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Repository · 22 publications · 3.7K citations
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