Bivariate Density Estimation is a kernel-based statistical method that belongs to the class of nonparametric density estimation techniques, specifically characterized by its focus on estimating the joint probability density function of two continuous random variables from observed data samples.
173
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18.6K
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306
Authors
210
Institutions
Publications per year
2017–2026
21
Parents
Publications
173
Density Estimation for Statistics and Data Analysis
Khosrow Dehnad, Bernard W. Silverman · Technometrics · 1987 · 3.8K citations
Density Estimation for Statistics and Data Analysis
Khosrow Dehnad · Technometrics · 1987 · 1.7K citations
Kernel density estimation and its application
Stanisław Węglarczyk · ITM Web of Conferences · 2018 · 627 citations · Full text
1–5 of 173
Authors
306
- CD
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- BW
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- TP
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4
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1–5 of 306
Institutions
210
Indian Institute of Technology Kanpur
Kanpur, India
4 h-index
4 publications
179 citations
Rice University
Houston, United States
4 h-index
4 publications
566 citations
McMaster University
Hamilton, Canada
4 h-index
4 publications
228 citations
University of Arizona
Tucson, United States
3 h-index
4 publications
401 citations
University of South Carolina
Columbia, United States
3 h-index
3 publications
64 citations
University of Kent
Canterbury, United Kingdom
3 h-index
5 publications
103 citations
Massey University
Palmerston North, New Zealand
3 h-index
4 publications
135 citations
The Open University
Milton Keynes, United Kingdom
3 h-index
3 publications
461 citations
1–8 of 210
Venues
- Journal of the American Statistical Association
18 publications · 1.7K citations
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- Biometrika
10 publications · 840 citations
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- Communication in Statistics- Theory and Methods
7 publications · 457 citations
7
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- Journal of Multivariate Analysis
7 publications · 338 citations
7
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- Computational Statistics & Data Analysis
CSDA · 7 publications · 110 citations
7
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1–5