Additive Smoothing
Additive Smoothing is a mathematical technique in additive combinatorics and additive number theory that belongs to the class of regularization methods and specifically refines the analysis of sumset structures by attenuating pathological configurations through controlled perturbation of sets or functions.
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Publications
422
Citations
32
Authors
12
Institutions
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2017–2026
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14
Smoothing with Mixed Model Software
Long Thanh Ngo, M. P. Wand · Journal of Statistical Software · 2004 · 156 citations · Full text
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University of Auckland
Auckland, New Zealand
1 h-index
2 publications
54 citations

University of Wollongong
Wollongong, Australia
1 h-index
2 publications
312 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
2 publications
42 citations
University of Missouri
Columbia, United States
1 h-index
2 publications
22 citations
Cancer Research And Biostatistics
Seattle, United States
1 h-index
1 publications
21 citations

UNSW Sydney
Sydney, Australia
1 h-index
1 publications
27 citations
OTH Regensburg
Regensburg, Germany
1 h-index
1 publications
14 citations
University of Regensburg
Regensburg, Germany
1 h-index
1 publications
14 citations
1–8 of 12
3 publications · 45 citations
3
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1 publications · 21 citations
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JSS · 1 publications · 156 citations
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1 publications · 27 citations
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1 publications · 10 citations
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