Optimal Bandwidth Selection
Optimal Bandwidth Selection is a methodological procedure in spatial statistics that determines the most appropriate scale of analysis for kernel density estimation by balancing spatial resolution and statistical reliability to accurately identify significant hot spots.
293
Publications
21.7K
Citations
548
Authors
324
Institutions
Publications per year
2017–2026
55
Parents
293
Variable Kernel Density Estimation
George R. Terrell, David W. Scott · The Annals of Statistics · 1992 · 913 citations · Full text
Bandwidth Choice for Nonparametric Regression
John Rice · The Annals of Statistics · 1984 · 695 citations · Full text
1–5 of 293
548
University of North Carolina at Chapel Hill, United States
11 publications · 1.6K citations
11
h-index
5
h-index
5
h-index
5
h-index
5
h-index
1–5 of 548
324

Australian National University
Canberra, Australia
10 h-index
16 publications
902 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
9 h-index
11 publications
1.4K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
15 publications
219 citations
Heidelberg University
Heidelberg, Germany
7 h-index
7 publications
676 citations
University of Chicago
Chicago, United States
6 h-index
6 publications
1.4K citations
UCLouvain
Louvain-la-Neuve, Belgium
6 h-index
9 publications
765 citations

UNSW Sydney
Sydney, Australia
6 h-index
9 publications
526 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
5 h-index
14 publications
414 citations
1–8 of 324
30 publications · 4.8K citations
27
h-index
13 publications · 1.7K citations
13
h-index
CSDA · 12 publications · 944 citations
11
h-index
14 publications · 390 citations
11
h-index
9 publications · 233 citations
9
h-index
1–5