BMA weights as a function of leads (months) for four selected models

Bayesian machine learning ensemble approach to quantify model uncertainty in predicting groundwater storage change - ScienceDirect

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Multi-model Evaluation and Bayesian Model Averaging in Quantitative Air Quality Forecasting in Central China - Aerosol and Air Quality Research

The seasonal variability of future evapotranspiration over China during the 21st century - ScienceDirect

Estimating non-additive within-season temperature effects on maize yields using Bayesian approaches

Hanpei ZHANG, Research Assistant, Master of Atmospheric Science, University of Hawaiʻi at Mānoa, Hawaii, UH Manoa, Department of Meteorology

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RMSE and skill score of each model at lead one month for different

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PDF) Hydrological Modeling Uncertainty Analysis with the Bayesian Model Averaging method

A meta-analysis of genetic effects associated with neurodevelopmental disorders and co-occurring conditions

Pao-Shin CHU, University of Hawaiʻi at Mānoa, Hawaii, UH Manoa, Department of Meteorology

Box‐Cox transformation parameter λ as function of the lead time (a);