In statistics, a frequentist interpretation looks only at the simple probability. But Bayes' theorem works with conditional information rather than just looking at a positive result, says Adam Frank.

Possibility theory and conditional probability offer complementary perspectives for modelling uncertainty, with each framework contributing distinct advantages. Possibility theory, rooted in fuzzy ...

How likely you think something is to happen depends on what you already believe about the circumstances. That is the simple ...

Empirical probability uses the number of occurrences of an outcome within a sample set as a basis for determining the probability of that outcome.

We propose a group sequential method based on the sequential conditional probability ratio test and show that it has the conservatism desired in practice. We also propose calculating the discordant ...

Janet Myhre, Sam Saunders, Screen Testing and Conditional Probability of Survival, Lecture Notes-Monograph Series, Vol. 2, Survival Analysis (1982), pp. 166-178 ...

Conditional probability offers more relevant information regarding survival for patients once they have survived for some time. We report conditional survival probabilities on the basis of 498 ...

Possibility Theory and Conditional Probability Publication Trend The graph below shows the total number of publications each year in Possibility Theory and Conditional Probability.