Noncentered Parameterization
Noncentered Parameterization is a reparameterization strategy in Bayesian multilevel modeling where latent parameters are expressed as a function of auxiliary variables and hyperparameters to decouple hierarchical dependencies, thereby improving sampling efficiency in strongly correlated posterior distributions.
7
Publications
775
Citations
13
Authors
12
Institutions
Publications per year
2017–2026
0
Variants
Non-centered Parameterization
Parents
7
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13
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Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
1 h-index
1 publications
50 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
1 publications
50 citations
Universidade de São Paulo
São Paulo, Brazil
1 h-index
1 publications
50 citations
University of California System
Oakland, United States
1 h-index
1 publications
50 citations

Harvard University Press
Cambridge, United States
1 h-index
2 publications
412 citations
Universidade Federal de Santa Catarina
Florianópolis, Brazil
1 h-index
1 publications
50 citations

University of Warwick
Coventry, United Kingdom
1 h-index
1 publications
309 citations

Lund University
Lund, Sweden
1 h-index
1 publications
309 citations
1–8 of 12
1 publications · 309 citations
1
h-index
1 publications · 50 citations
1
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JCGS · 1 publications · 206 citations
1
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Repository · 1 publications · 88 citations
1
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1 publications · 33 citations
1
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1–5