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 ...

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 ...

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

Furthermore, estimation of the conditional distribution function of Y, given θT X, has the same first-order asymptotic properties that it would enjoy if θ were known. The proposed method is ...

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.