Robust likelihood functions in Bayesian inference

By L. Greco, Walter Racugno, Laura Ventura. 2008

50 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/338fcffd8bd4dba0841338e694a3c5d0d64767ed

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Laura Ventura
2. Walter Racugno
3. Stefano Cabras
4. Francesco Pauli
5. F. Rubio
6. Mark F. J. Steel

Citations in the corpus

• Prior Distributions From Pseudo-Likelihoods in the Presence of Nuisance Parameters (2009, background): “…not standard, the approach has been already considered by, for example, Efron (1993); Bertolino and Racugno (1992, 1994); Raftery, Madigan, and Volinsky (1996); Fraser et al. (2003); Cabras, Racugno, and Ventura (2006); Lin (2006); Chang and Mukerjee (2006); and Greco, Racugno, and Ventura (2008).”
• Bayesian composite marginal likelihoods (2011, background): “…Chang and Mukerjee (2006), Ventura Cabras, and Racugno (2009), Racugno, Salvan, and Ventura (2010)); quasi-and empirical likelihoods derived from estimating functions (Lazar (2003), Chernozhukov and Hong (2003), Lin (2006), Greco, Racugno, and Ventura (2008), Ventura, Cabras, and Racugno (2010)).”