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Available from British Library Document Supply Centre-DSC:D063313 / BLDSC - British Library Document...
Model selection is of fundamental importance to high dimensional modelling featured in many contempo...
We discuss model selection, both from a Bayes and Classical point of view. Our presentation introduc...
Bayesian model selection is a fundamental part of the Bayesian statistical modeling process. The qua...
Graphical model selection from data embodies several difficulties. Among them, it is specially chall...
Spatial Bayesian modelling applied to the surveys of Xylella fastidiosa in Alicant
We consider homogeneous scoring rules for selecting between Bayesian models for discrete data with p...
In this study we are proposing a Bayesian model selection methodology, where the best model from the...
Model selection is approached in the framework of a Bayesian experiment with a discrete sub-σ-field ...
We consider problems in model selection caused by the geometry of models close to their points of in...
In disease mapping where predictor effects are to be modeled, it is often the case that sets of pred...
Abstract: The problem of variable selection is encountered in model fitting with unobserved spatial ...
This paper compares the performance of Bayesian variable selection approaches for spatial autoregres...
ABSTRACT. The choice of weights is a non-nested problem in most applied spatial econometric models. ...
Summary. Spatial linear models are popular for the analysis of data on a spatial lattice, but sta-ti...
Available from British Library Document Supply Centre-DSC:D063313 / BLDSC - British Library Document...
Model selection is of fundamental importance to high dimensional modelling featured in many contempo...
We discuss model selection, both from a Bayes and Classical point of view. Our presentation introduc...
Bayesian model selection is a fundamental part of the Bayesian statistical modeling process. The qua...
Graphical model selection from data embodies several difficulties. Among them, it is specially chall...
Spatial Bayesian modelling applied to the surveys of Xylella fastidiosa in Alicant
We consider homogeneous scoring rules for selecting between Bayesian models for discrete data with p...
In this study we are proposing a Bayesian model selection methodology, where the best model from the...
Model selection is approached in the framework of a Bayesian experiment with a discrete sub-σ-field ...
We consider problems in model selection caused by the geometry of models close to their points of in...
In disease mapping where predictor effects are to be modeled, it is often the case that sets of pred...
Abstract: The problem of variable selection is encountered in model fitting with unobserved spatial ...
This paper compares the performance of Bayesian variable selection approaches for spatial autoregres...
ABSTRACT. The choice of weights is a non-nested problem in most applied spatial econometric models. ...
Summary. Spatial linear models are popular for the analysis of data on a spatial lattice, but sta-ti...
Available from British Library Document Supply Centre-DSC:D063313 / BLDSC - British Library Document...
Model selection is of fundamental importance to high dimensional modelling featured in many contempo...
We discuss model selection, both from a Bayes and Classical point of view. Our presentation introduc...