Bayesian Model Averaging
Key Facts
Abbreviation
BMA
Pronunciation
/ˈbeɪziən ˈmɒdl ˈævərɪdʒɪŋ/
Category
Academic & Science
Related Field
Mathematics
Examples in Context
- Bayesian model averaging was used to combine the results across models and to provide a measure of uncertainty that reflects the choice of model and the sampling variability.
- Due to the uncertainty of the precipitation, the Bayesian Model Averaging(BMA) ( BMA ) is employed as the ensemble model for certain period, which can release both deterministic and probabilistic forecast.
- According to analyzing classical Structure Learning methods ( K2 and MCMC algorithms ), an improved Bayesian Networks Structure Learning algorithm is proposed which combined with the merits of above two algorithms and the idea of model averaging.
Other meanings of BMA
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