Circular Kernel Density Estimation
Circular Kernel Density Estimation is a nonparametric density estimation method that extends kernel density estimation to circular data by employing kernels defined on the unit circle, thereby accounting for the periodic nature of directional observations.
12
Publications
930
Citations
21
Authors
17
Institutions
Publications per year
2017–2026
2
Variants
Circular Kde
Parents
12
Statistical Analysis of Circular Data
Timothy G. Grégoire · Forest Science · 1996 · 46 citations · Full text
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Commonwealth Scientific and Industrial Research Organisation, Australia
1 publications · 25 citations
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17

University of Massachusetts Amherst
Amherst Center, United States
1 h-index
1 publications
17 citations
Mitchell Institute
Portland, United States
1 h-index
1 publications
25 citations

University of the Witwatersrand
Johannesburg, South Africa
1 h-index
1 publications
29 citations

The University of Sydney
Sydney, Australia
1 h-index
3 publications
621 citations
Kent State University
Kent, United States
1 h-index
1 publications
34 citations
Universidade de Santiago de Compostela
Santiago de Compostela, Spain
1 h-index
1 publications
60 citations
Virginia Tech
Blacksburg, United States
1 h-index
1 publications
46 citations
Ca' Foscari University of Venice
Venice, Italy
1 h-index
1 publications
87 citations
1–8 of 17
1 publications · 375 citations
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1 publications · 34 citations
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1 publications · 87 citations
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1 publications · 207 citations
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1 publications · 46 citations
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