The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Parameterization and Bayesian Modeling
Abstract
Progress in statistical computation often leads to advances in statistical modeling. For example, it is surprisingly common that an existing model is reparameterized, solely for computational purposes, but then this new configuration motivates a new family of models that is useful in applied statistics. One reason why this phenomenon may not have been noticed in statistics is that reparameterizations do not change the likelihood. In a Bayesian framework, however, a transformation of parameters typically suggests a new family of prior distributions. We discuss examples in censored and truncated data, mixture modeling, multivariate imputation, stochastic processes, and multilevel models.
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Cites
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Self-citationStochastic relaxation, gibbs distributions, and the bayesian restoration of images.
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Cited by
mice: Multivariate Imputation by Chained Equations in R
Buuren, S. V., & Groothuis-Oudshoorn, K. (2011) · Journal of Statistical Software · doi:10.18637/jss.v045.i03 · Cited by 13,870
“…sequential regressions (Raghunathan et al. 2001), ordered pseudo-Gibbs sampler (Heckerman et al. 2001), partially incompatible MCMC (Rubin 2003), iterated univariate imputation (Gelman 2004), MICE (van Buuren and Oudshoorn 2000; van Buuren and Groothuis-Oudshoorn 2011) and FCS (van Buuren 2007).”
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Self-citationMultiple imputation of discrete and continuous data by fully conditional specification
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The BUGS project: evolution, critique and future directions
Lunn, D., Spiegelhalter, D., Thomas, A., & Best, N. (2009) · Statistics in Medicine · doi:10.1002/sim.3680 · Cited by 1,876
(2013) · Cited by 1,351
Metadata
- Authors
- Gelman, A.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 2004-06
- Volume
- 99
- Issue
- 466
- Pages
- 537-545
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2003471362
- Cited by
- 275
- References
- 52
- FWCI
- 4.92
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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