Density Derivative Estimation
Density Derivative Estimation is a statistical methodology within nonparametric density estimation that specifically targets the estimation of derivatives of a probability density function, distinguishing itself by characterizing the rate of change of density rather than the density itself, typically using kernel-based or local polynomial techniques.
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142
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93
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2017–2026
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A tutorial on kernel density estimation and recent advances
Yen‐Chi Chen · Biostatistics & Epidemiology · 2017 · 790 citations
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The Open University
Milton Keynes, United Kingdom
7 h-index
8 publications
547 citations
University of Guelph
Guelph, Canada
5 h-index
5 publications
166 citations

Australian National University
Canberra, Australia
4 h-index
6 publications
742 citations
University of Maryland, College Park
College Park, United States
4 h-index
6 publications
485 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
11 publications
261 citations

Universidad de Extremadura
Badajoz, Spain
3 h-index
3 publications
240 citations
University of Washington
Seattle, United States
3 h-index
3 publications
868 citations
University of Bonn
Bonn, Germany
3 h-index
3 publications
175 citations
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10 publications · 795 citations
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5 publications · 179 citations
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5 publications · 157 citations
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4 publications · 274 citations
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4 publications · 507 citations
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