Bayesian Forecast Reconciliation is a forecast reconciliation method that belongs to the class of probabilistic reconciliation techniques and is distinguished by its incorporation of prior distributions over reconciliation parameters, enabling coherent forecasts through posterior inference under a Bayesian framework.