Assessing Probabilistic Inference by Comparing the Generalized Mean of the Model and Source Probabilities
Assessing Probabilistic Inference by Comparing the Generalized Mean of the Model and Source Probabilities
An approach to the assessment of probabilistic inference is described which quantifies the performance on the probability scale. From both information and Bayesian theory, the central tendency of an inference is proven to be the geometric mean of the probabilities reported for the actual outcome and is referred to as …