Candidate Model Set
A Candidate Model Set is a collection of plausible statistical or machine learning models, considered under a common modeling objective, that are explicitly defined and compared during the process of model selection to identify the most appropriate model based on specified criteria.
127
Publications
6.8K
Citations
410
Authors
226
Institutions
Publications per year
2017–2026
38
Parents
127
Is your ad hoc model selection strategy affecting your multimodel inference?
Dana J. Morin, Charles B. Yackulic, Jay E. Diffendorfer et al. · Ecosphere · 2020 · 200 citations · Full text
A simple function for full‐subsets multiple regression in ecology with R
Rebecca Fisher, Shaun K. Wilson, Tsai Min Sin et al. · Ecology and Evolution · 2018 · 161 citations · Full text
Business, Biostatistics, Ecology +15
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226
Eindhoven University of Technology
Eindhoven, The Netherlands
4 h-index
9 publications
390 citations
United States Geological Survey
Reston, United States
3 h-index
5 publications
469 citations

University of St Andrews
St Andrews, United Kingdom
3 h-index
5 publications
163 citations
KU Leuven
Leuven, Belgium
3 h-index
6 publications
154 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
5 publications
398 citations
University of Sheffield
Sheffield, United Kingdom
3 h-index
10 publications
360 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
100 citations
Stanford University
Stanford, United States
2 h-index
5 publications
242 citations
1–8 of 226
4 publications · 144 citations
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3 publications · 149 citations
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3 publications · 53 citations
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2 publications · 142 citations
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2 publications · 112 citations
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