Histogram Density Estimation
Histogram Density Estimation is a nonparametric density estimation method that approximates the probability density function of a random variable by partitioning the data space into discrete bins and normalizing the bin counts to form a piecewise constant density function.
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217
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105
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2017–2026
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Optimal Histograms with Quality Guarantees
H. V. Jagadish, Nick Koudas, S. Muthukrishnan et al. · 1998 · 382 citations
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Rice University
Houston, United States
5 h-index
5 publications
811 citations
Yale University
New Haven, United States
4 h-index
4 publications
344 citations

Australian National University
Canberra, Australia
3 h-index
5 publications
223 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
3 publications
218 citations
University of California San Diego
San Diego, United States
3 h-index
6 publications
324 citations
KU Leuven
Leuven, Belgium
3 h-index
4 publications
76 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
2 publications
164 citations
Tsinghua University
Beijing, China
2 h-index
6 publications
231 citations
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9 publications · 1.1K citations
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Conference · 3 publications · 61 citations
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