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 ...

STAT 3100 - Applied Probability Studies axioms, counting formulas, conditional probability, independence, random variables, continuous and discrete distribution, expectation, joint distributions, ...

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, distribution theory and statistical inference needed for advanced courses in statistics and econometrics. Michaelmas term: Probability.

The conditional probability represents the probability of surviving to some specific years post diagnosis, given survival to a certain number of years. Several authors have studied the conditional ...

The conditional beta distribution is proposed as a parametric model of the probability distribution of agricultural output. A two-stage maximum likelihood estimation procedure is shown to produce ...