Oct 28, 2010 · This idea is generalised to moves of a reversible jump algorithm for model determination among generalised linear mixed models. Therefore, this ...
This idea is generalised to moves of a reversible jump algorithm for model determination among generalised linear mixed models. Therefore, this algorithm ...
A reversible jump algorithm for Bayesian model determination among generalised linear models, under relatively diffuse prior distributions for the model ...
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A reversible jump algorithm for Bayesian model determination among generalised linear models, under relatively diffuse prior distributions for the model ...
Abstract A reversible jump algorithm for Bayesian model determination among generalised linear models, under rela- tively diffuse prior distributions for ...
[PDF] A novel reversible jump algorithm for generalized linear models
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We propose a novel methodology to construct proposal densities in reversible jump algorithms that obtain samples from parameter subspaces of competing ...
Missing: mixed | Show results with:mixed
In this paper, we consider a default strategy for fully Bayesian model determination for GLMMs. We address the two key issues of default prior specification ...
Bayesian Generalized Kernel Mixed Models ... We propose a fully Bayesian methodology for generalized kernel mixed models ... reversible jump method is used for ...
Missing: generalised
Hierarchical centering has been described as a reparameterization method applicable to random effects models. It has been shown to improve mixing of models ...
Jan 3, 2023 · These methods aim to explore the positive effect of GEI for specific recommendations. Linear-bilinear models are useful for evaluating genotype ...