NewEvery arXiv paper, its researchers & institutions — mapped.
paper

Bayesian aggregation of two forecasts in the partial information framework

arXiv:1608.04717

Abstract

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.

21 pages, 5 figures in Statistics and Probability Letters (2016)