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Classification Loss Function for Parameter Ensembles in Bayesian Hierarchical Models
Classification Loss Function Parameter Ensembles Bayesian Hierarchical Models
2011/6/20
Our perspective in this paper follows the framework adopted by Lin et al. (2006), who intro-
duced several loss functions for the identi cation of the elements of a parameter ensemble that
represent...
Identifying outliers in Bayesian hierarchical models: a simulation-based approach
Hierarchical models diagnostics outliers distributional assumptions
2009/9/22
A variety of simulation-based techniques have been proposed for detec-
tion of divergent behaviour at each level of a hierarchical model. We investigate a
diagnostic test based on measuring the coni...
Loss Function Based Ranking in Two-Stage, Hierarchical Models
percentiling Bayesian models decision theory operating characteristic
2009/9/21
Performance evaluations of health services providers burgeons. Simi-
larly, analyzing spatially related health information, ranking teachers and schools,
and identification of differentially express...
The Relationship Between the Power Prior and Hierarchical Models
Generalized linear model hierarchical model historical data power prior prior elicitation random eects model
2009/9/21
The power prior has emerged as a useful informative prior for the incorpora-
tion of historical data in a Bayesian analysis. Viewing hierarchical modeling as
the gol standard for combining informati...
Prior distributions for variance parameters in hierarchical models(Comment on Article by Browne and Draper)
Bayesian inference conditional conjugacy folded-noncentral-t distribution hierarchical model multilevel mode weakly informative prior distribution
2009/9/21
Various noninformative prior distributions have been suggested for
scale parameters in hierarchical models. We construct a new folded-noncentral-t
family of conditionally conjugate priors for hierar...