Bayesian Model Averaging

A parameter estimate (or a prediction of new observations) obtained by averaging the estimates (or predictions) of the different models under consideration, each weighted by its model probability.

References

Ensemble learning. Wikipedia. Link.

Bayesian model average: A parameter estimation approach to model agnostic ensemble learning. (2019). Journal of Machine Learning for Modeling and Computing, 1(2), 61-70. Link.