### Some articles on *probabilities*:

Scoring Rule

... It is applicable to tasks in which predictions must assign

... It is applicable to tasks in which predictions must assign

**probabilities**to a set of mutually exclusive discrete outcomes ... binary or categorical in nature, and the**probabilities**assigned to this set of outcomes must sum to one (where each individual probability is in the range of 0 to 1) ... rule, the minimal expected cost corresponds to reporting the true set of**probabilities**...Attribute Hierarchy Method - Evaluating Model-data Fit - Estimating Attribute

... that the model fits the data, the attribute

**Probabilities**... that the model fits the data, the attribute

**probabilities**can be calculated ... The use of attribute**probabilities**is important in the psychometric analyses of the AHM because these**probabilities**provide examinees with specific information about their attribute-le ...SIPTA - Background

... to manage the series of International Symposia on Imprecise

... to manage the series of International Symposia on Imprecise

**Probabilities**and Their Applications (ISIPTA) ... with many activities around the theme of imprecise**probabilities**... models which measure chance or uncertainty without sharp numerical**probabilities**...Statistical Dependence - Definition - For Events - Two Events

... A and B are independent if and only if their joint probability equals the product of their

... A and B are independent if and only if their joint probability equals the product of their

**probabilities**... Why this defines independence is made clear by rewriting with conditional**probabilities**and similarly ... seem more intuitive, they are not the preferred definition, as the conditional**probabilities**may be undefined if P(A) or P(B) are 0 ...