Logistic Regression Model Averaging
Logistic Regression Model Averaging is a Bayesian model averaging framework that combines multiple logistic regression models by weighting their posterior probabilities to improve predictive accuracy and account for model uncertainty in binary or categorical outcome settings.
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1.7K
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47
Authors
28
Institutions
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2017–2026
1
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14
MODEL WEIGHTS AND THE FOUNDATIONS OF MULTIMODEL INFERENCE
William A. Link, Richard Barker · Ecology · 2006 · 397 citations · Full text
Computing, Biostatistics, Ecology +17
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Inserm
Paris, France
2 h-index
4 publications
576 citations

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
2 publications
80 citations
MRC Institute of Hearing Research
Nottingham, United Kingdom
1 h-index
4 publications
116 citations

University of Otago
Dunedin, New Zealand
1 h-index
1 publications
397 citations
University of Washington Applied Physics Laboratory
Seattle, United States
1 h-index
1 publications
268 citations
GF Strong Rehabilitation Centre
Vancouver, Canada
1 h-index
1 publications
27 citations
Life Services (United States)
Minneapolis, United States
1 h-index
1 publications
397 citations
Heidelberg University
Heidelberg, Germany
1 h-index
3 publications
36 citations
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3 publications · 424 citations
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1 publications · 14 citations
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1 publications · 12 citations
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1 publications · 40 citations
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1 publications · 29 citations
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