Bandwidth Selection is a methodological procedure in nonparametric statistics that determines the optimal window width for local averaging around a threshold, distinguishing it from other estimation techniques by its critical role in balancing bias and variance in kernel-based inference within regression discontinuity designs and point pattern analysis.
582
Publications
51.2K
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919
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520
Institutions
Publications per year
2017–2026
83
Variants
Bandwidth Parameter Selection
Publications
582
1–5 of 582
Authors
919
- JSJ. S. Marron
University of North Carolina at Chapel Hill, United States
22 publications · 3.7K citations
20
h-index
- MD
13
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- IG
11
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- MC
11
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- MP
11
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1–5 of 919
Institutions
520
University of North Carolina at Chapel Hill
Chapel Hill, United States
20 h-index
28 publications
4.9K citations
UCLouvain
Louvain-la-Neuve, Belgium
16 h-index
22 publications
2.3K citations
Cornell University
Ithaca, United States
16 h-index
21 publications
2.6K citations
UNSW Sydney
Sydney, Australia
14 h-index
23 publications
7.5K citations
Princeton University
Princeton, United States
13 h-index
16 publications
2.2K citations
University of California, Berkeley
Berkeley, United States
13 h-index
19 publications
3K citations
Australian National University
Canberra, Australia
13 h-index
26 publications
1.4K citations
Universidade da Coruña
A Coruña, Spain
13 h-index
29 publications
777 citations
1–8 of 520
Venues
- Journal of the American Statistical Association
45 publications · 7.2K citations
35
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- The Annals of Statistics
43 publications · 8K citations
33
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- Journal of the Royal Statistical Society Series B (Statistical Methodology)
26 publications · 5K citations
23
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- Journal of nonparametric statistics
33 publications · 1.1K citations
19
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- Computational Statistics & Data Analysis
CSDA · 19 publications · 1.2K citations
15
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