Given a set of conditional probability distributions between a number of variables (as Fig. 1), the probability distributions between variables not explicitly specified may be inferred.

H. K. ALEXANDER, CONDITIONAL DISTRIBUTIONS AND WAITING TIMES IN MULTITYPE BRANCHING PROCESSES, Advances in Applied Probability, Vol. 45, No. 3 (SEPTEMBER 2013), pp. 692-718 ...

The course covers the probability and distribution theory needed for advanced courses in statistics and econometrics.: Topics covered: Probability. Conditional probability and independence. Random ...

To learn the complex conditional probability distribution of the data, the researchers used a special type of deep-learning model called a normalizing flow, which is particularly effective at ...

Winfried Stute, On Almost Sure Convergence of Conditional Empirical Distribution Functions, The Annals of Probability, Vol. 14, No. 3 (Jul., 1986), pp. 891-901 ...

The course covers the probability, distribution theory and statistical inference needed for advanced courses in statistics and econometrics. Michaelmas term: Probability.