Bayesian Predictive Information Criterion is a model selection metric that belongs to the class of Bayesian information criteria and is distinguished by its incorporation of predictive performance through posterior predictive distributions to estimate out-of-sample accuracy.
212
Publications
14.7K
Citations
922
Authors
471
Institutions
Publications per year
2017–2026
89
Parents
Publications
212
Boosting Algorithms: Regularization, Prediction and Model Fitting
Statistical Science · 2007 · 738 citations · Full text
BOOSTING ALGORITHMS: REGULARIZATION, PREDICTION AND MODEL FITTING
2007 · 706 citations
1–5 of 212
Authors
922
- AS
3
h-index
- PT
3
h-index
- JGJoseph G. Ibrahim
University of North Carolina at Chapel Hill, United States
3 publications · 140 citations
3
h-index
- SJ
2
h-index
- TB
2
h-index
1–5 of 922
Institutions
471
University of California, Los Angeles
Los Angeles, United States
4 h-index
12 publications
491 citations
King's College London
London, United Kingdom
4 h-index
18 publications
1.1K citations
Universidade Federal do Rio de Janeiro
Rio de Janeiro, Brazil
3 h-index
5 publications
72 citations
Northern Illinois University
DeKalb, United States
3 h-index
5 publications
267 citations
Queensland University of Technology
Brisbane, Australia
3 h-index
3 publications
114 citations
University of Bern
Bern, Switzerland
3 h-index
10 publications
259 citations
Monash University
Melbourne, Australia
3 h-index
12 publications
346 citations
University of Groningen
Groningen, The Netherlands
3 h-index
5 publications
108 citations
1–8 of 471
Venues
- PLoS ONE
5 publications · 160 citations
5
h-index
- Monthly Notices of the Royal Astronomical Society
4 publications · 530 citations
4
h-index
- Computational Statistics & Data Analysis
CSDA · 3 publications · 44 citations
3
h-index
- Ultrasound in Obstetrics and Gynecology
3 publications · 196 citations
3
h-index
- Journal of the American Statistical Association
3 publications · 665 citations
3
h-index
1–5