Bayesian aggregation of two forecasts in the partial information framework
classification
📊 stat.ME
keywords
aggregationaggregatorbayesiancitecomputedestimationexplicitforecasters
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We generalize the results of \cite{SPU, SJPU} by showing how the Gaussian aggregator may be computed in a setting where parameter estimation is not required. We proceed to provide an explicit formula for a "one-shot" aggregation problem with two forecasters.
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