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

Authors

13

  1. MS
    Martin Sköld

    Stockholm University, Sweden

    2 publications · 397 citations

    2

    h-index

  2. OP
    Omiros Papaspiliopoulos

    Universitat Pompeu Fabra, Spain

    2 publications · 397 citations

    2

    h-index

  3. GO
    Gareth O. Roberts

    University of Warwick, United Kingdom

    2 publications · 397 citations

    2

    h-index

  4. MW
    Max Welling

    University of Amsterdam, Netherlands

    1 publications · 39 citations

    1

    h-index

  5. PM
    Peter M. Bentler

    University of California, Los Angeles, United States

    1 publications · 50 citations

    1

    h-index

1–5 of 13

Venues

  1. Statistical Science

    1 publications · 309 citations

    1

    h-index

  2. Psychometrika

    1 publications · 50 citations

    1

    h-index

  3. Journal of Computational and Graphical Statistics

    JCGS · 1 publications · 206 citations

    1

    h-index

  4. Lancaster EPrints (Lancaster University)

    Repository · 1 publications · 88 citations

    1

    h-index

  5. Econometric Reviews

    1 publications · 33 citations

    1

    h-index

1–5