Probability matching priors
By Gauri Sankar Datta, Trevor J. Sweeting. 2004
89 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f6dc1eab68154b4e612fdfa77e23cfadf5c1e851
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Malay Ghosh
- J. Bernardo
- Stefano Cabras
- Walter Racugno
- Partha Lahiri
- Laura Ventura
- Jiming Jiang
- Danny Pfeffermann
In Statistics and Probability
- Partha Lahiri
- Jiming Jiang
- Malay Ghosh
- Laura Ventura
- Walter Racugno
- J. Bernardo
- Stefano Cabras
- Danny Pfeffermann
Citations in the corpus
- Objective Priors: An Introduction for Frequentists (2011, background): “…not claim the extensive thorough and comprehensive review of Kass and Wasserman (1996), nor does it aspire to the somewhat narrowly focused, but a very comprehensive review of probability matching priors as given in Ghosh and Mukerjee (1998), Datta and Mukerjee (2004) and Datta and Sweeting (2005).”
- Prior Distributions From Pseudo-Likelihoods in the Presence of Nuisance Parameters (2009, methodology): “This example has been discussed in Barndorff-Nielsen (1983), Liseo (1993), and Staicu and Reid (2008).”
- Mixed model prediction and small area estimation (2006, background): “Different objective priors, including reference priors (see Bernardo, 2005) and matching priors (see Datta and Mukherjee, 2004; Datta and Sweeting, 2005), have been proposed in the Bayesian literature.”
- Intrinsic credible regions: An objective Bayesian approach to interval estimation (2005, background): “The pragmatic importance of these region estimates should not be underestimated; see Guttman (1970), Blyth (1986), Efron (1987), Hahn and Meeker (1991), Burdick and Graybill (1992), Eberly and Casella (2003), and references therein, for some monographic works on this topic.”