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

The comparison of different performance statistics for various BMA

Flowchart of hydrologic multi-model ensembles for uncertainty analysis.

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

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Performance of Optimally Merged Multisatellite Precipitation Products Using the Dynamic Bayesian Model Averaging Scheme Over the Tibetan Plateau

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

A flexible predictive density combination for large financial data sets in regular and crisis periods - ScienceDirect

Content of the return argument output of the MODELAVG function

Predicting geological interfaces using stacking ensemble learning with multi-scale features

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

HUP‐BMA: An Integration of Hydrologic Uncertainty Processor and Bayesian Model Averaging for Streamflow Forecasting

Acronym used by input argument method for each of the model averaging

Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model

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