Prior Distributions From Pseudo-Likelihoods in the Presence of Nuisance Parameters
By Laura Ventura, Stefano Cabras, Walter Racugno. 2009
52 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e9240bb43028ee68a21f88ebfc101cf63304313d
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In Statistics and Probability
- A. C. Davison
- Daniel Cooley
- Mathieu Ribatet
- Raphaël Huser
- Thomas Opitz
- Jennifer L. Wadsworth
- Raphaël de Fondeville
- Emeric Thibaud
Citations in the corpus
- Bayesian Inference from Composite Likelihoods, with an Application to Spatial Extremes (2009, methodology): “Other work on Bayesian methods with conditional or pseudo likelihoods (e.g., Efron [1993], Chang and Mukerjee [2006] and Ventura et al. [2009]) is typically motivated by a desire to avoid specifying a full likelihood when there are nuisance parameters, and thus focuses on Bayesian implementation…”