Bayesian model averaging (BMA) provides a coherent mechanism for ac- counting for this model uncertainty. Several methods for implementing BMA have recently ...

A Bayesian average is a method of estimating the mean of a population using outside information, especially a pre-existing belief.

2 июн. 2020 г. · Bayesian model average: A parameter estimate (or a prediction of new observations) obtained by averaging the estimates (or predictions) of the ...

Bayesian Model averaging is a natural response to model uncertainty. It has become an important practical tool for dealing with model uncertainty, ...

Model averaging is nothing more than constructing a marginal posterior distribution for a parameter, averaging across all models in a class.

Model averaging can be viewed as an ensemble method that improves predictive performance using optimal combinations in the space of considered candidate models ...

Bayesian model averaging (BMA) is a way of taking account of uncertainty about model form or assump- tions and propagating it through to inferences about an ...

Bayesian model averaging provides a way to combine information across statistical models and account for the uncertainty embedded in each.

30 сент. 2015 г. · Bayesian Model Averaging (BMA) is an application of Bayesian inference to the problems of model selection, combined estimation and prediction ...

Bayesian model averaging (BMA) provides a coherent mechanism for ac- counting for this model uncertainty. Several methods for implementing BMA have recently ...