Multivariate Kernel Density Estimation
Multivariate Kernel Density Estimation is a nonparametric density estimation method that extends univariate kernel density estimation by employing a multivariate kernel function to estimate the joint probability density function of multiple continuous random variables from a sample of multidimensional data.
223
Publications
16.4K
Citations
580
Authors
331
Institutions
Publications per year
2017–2026
63
Variants
Multivariate Kde
Parents
223
NONPARAMETRIC ESTIMATORS FOR TIME SERIES
Peter M. Robinson · Journal of Time Series Analysis · 1983 · 571 citations
Variable Kernel Estimates of Multivariate Densities
Leo Breiman, William S. Meisel, Edward M. Purcell · Technometrics · 1977 · 474 citations
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331

Centre National de la Recherche Scientifique
Paris, France
7 h-index
13 publications
305 citations
University of Oxford
Oxford, United Kingdom
6 h-index
14 publications
287 citations

Australian National University
Canberra, Australia
5 h-index
9 publications
1.1K citations

Zhejiang University
Hangzhou, China
5 h-index
7 publications
232 citations
Laboratoire de Mathématiques Blaise Pascal
Aubière, France
4 h-index
5 publications
147 citations
Sepuluh Nopember Institute of Technology
Surabaya, Indonesia
4 h-index
19 publications
595 citations

University of Ljubljana
Ljubljana, Slovenia
3 h-index
5 publications
611 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
4 publications
284 citations
1–8 of 331
CSDA · 9 publications · 665 citations
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8 publications · 247 citations
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5 publications · 479 citations
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5 publications · 394 citations
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4 publications · 539 citations
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