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A Default Conjugate Prior for Variance Components in Generalized Linear Mixed Models(Comment on Article by Browne and Draper)
Choice of prior hierarchical models noninformative priors random effects
2009/9/21
For a scalar random-eect variance, Browne and Draper (2005) have found that the uniform prior works well. It would be valuable to know more about the vector case, in which a second-stage prior on the ...
A weakly informative default prior distribution for logistic and other regression models
Bayesian inference generalized linear model least squares hierarchicalmodel linear regression logistic regression
2010/3/17
We propose a new prior distribution for classical (nonhierarchical)
logistic regression models, constructed by first scaling all nonbinary
variables to have mean 0 and standard deviation 0.5, and th...
