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To investigate whether treating cancer patients with erythropoiesis-stimulating agents (ESAs) would increase the mortality risk, Bennett et al. [Journal of the American Medical Association 299 (2008) ...
We also investigate methods for the estimation of the precision parameter of the Dirichlet process, finding that maximum likelihood may not be desirable, but a posterior mode is a reasonable approac...
We consider Bayes inference for a class of distributions on orientations in 3 dimensions described by 3 × 3 rotation matrices. Non-informative priors are identified and Metropolis-H...
The one way random effects model is analyzed from the Bayesian model selection perspective. From this point of view Bayes factors are the key tool to choose between two models. In order to produce ...
Spatial cumulative distributions (SCDFs) are useful in environmental applica- tions for example, by helping assess the fraction of a region exposed to harmful pollutants. Data sets containing the re...
This article describes a semiparametric estimation method for a discrete duration model with autoregressive random effects using Markov chain Monte Carlo techniques, and analyzes the duration of ten m...
In several applications data are grouped and there are within-group correlations.With continuous data, there are several available models that are often used; with counting data, the Poisson distribut...

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