scholarly journals Spatiotemporal multivariate mixture models for Bayesian model selection in disease mapping

2017 ◽  
Vol 28 (8) ◽  
pp. e2465 ◽  
Author(s):  
Andrew B. Lawson ◽  
Rachel Carroll ◽  
Christel Faes ◽  
Russell S. Kirby ◽  
Mehreteab Aregay ◽  
...  
Keyword(s):  
Model Selection ◽  
Mixture Models ◽  
Bayesian Model ◽  
Disease Mapping ◽  
Bayesian Model Selection

scholarly journals Spatio-temporal Bayesian model selection for disease mapping

2016 ◽  
Vol 27 (8) ◽  
pp. 466-478 ◽  
Author(s):  
Rachel Carroll ◽  
Andrew B. Lawson ◽  
Christel Faes ◽  
Russell S. Kirby ◽  
Mehreteab Aregay ◽  
...  
Keyword(s):  
Model Selection ◽  
Bayesian Model ◽  
Disease Mapping ◽  
Bayesian Model Selection ◽  
Selection For ◽  
Spatio Temporal

scholarly journals Spatially-dependent Bayesian model selection for disease mapping

2016 ◽  
Vol 27 (1) ◽  
pp. 250-268 ◽  
Author(s):  
Rachel Carroll ◽  
Andrew B Lawson ◽  
Christel Faes ◽  
Russell S Kirby ◽  
Mehreteab Aregay ◽  
...  
Keyword(s):  
Model Selection ◽  
Bayesian Model ◽  
Large Scale ◽  
Bayesian Model Averaging ◽  
Disease Mapping ◽  
Model Averaging ◽  
Bayesian Model Selection ◽  
Small Scale ◽  
Study Region ◽  
Model Sets

In disease mapping where predictor effects are to be modeled, it is often the case that sets of predictors are fixed, and the aim is to choose between fixed model sets. Model selection methods, both Bayesian model selection and Bayesian model averaging, are approaches within the Bayesian paradigm for achieving this aim. In the spatial context, model selection could have a spatial component in the sense that some models may be more appropriate for certain areas of a study region than others. In this work, we examine the use of spatially referenced Bayesian model averaging and Bayesian model selection via a large-scale simulation study accompanied by a small-scale case study. Our results suggest that BMS performs well when a strong regression signature is found.

scholarly journals Bayesian model selection on scalar ε -field dark energy

2021 ◽  
Vol 103 (4) ◽  
Author(s):  
J. Alberto Vázquez ◽  
David Tamayo ◽  
Anjan A. Sen ◽  
Israel Quiros
Keyword(s):  
Dark Energy ◽  
Model Selection ◽  
Bayesian Model ◽  
Bayesian Model Selection

scholarly journals Accounting for cell lineage and sex effects in the identification of cell-specific DNA methylation using a Bayesian model selection algorithm

PLoS ONE ◽  
2017 ◽  
Vol 12 (9) ◽  
pp. e0182455 ◽  
Author(s):  
Nicole White ◽  
Miles Benton ◽  
Daniel Kennedy ◽  
Andrew Fox ◽  
Lyn Griffiths ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Model Selection ◽  
Bayesian Model ◽  
Cell Lineage ◽  
Bayesian Model Selection ◽  
Selection Algorithm ◽  
Sex Effects
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