Stime fiduciali di probabilità nell'aggregazione bayesiana di informazioni
AbstractAmong the aggregative algorithms suitable to compose various probability densities in a single synthesis distribution - which abstracts information, evaluations, opinions coming from different sources about an unknown quantity -, the bayesian scheme suggested by Peter A. Morris is characterized by the recourse to a "calibration function": a kind of probabilistic balancer, technically configurable like second order prob-ability density and consequently specifiable by fiducial models for estimating probabilities.
How to Cite
Agati, P. (1998). Stime fiduciali di probabilità nell’aggregazione bayesiana di informazioni. Statistica, 58(4), 655–668. https://doi.org/10.6092/issn.1973-2201/1102
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