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

Functions of Random Variables. Monte Carlo Simulation in R. Joint distributions and joint moments. Marginal and conditional densities. Independence, covariance and correlation. Sums of random ...

The validity of posterior probability statements follows from probability calculus when the likelihood is the density of the observations. To investigate other cases, a second, more intuitive ...

Marginal and conditional densities. Independence, covariance and correlation. Sums of random variables and compounding. Multinomial and bivariate normal distributions. Law of large numbers and central ...

Probability distributions for the generalized variance and Wilks' likelihood ratio statistic in multivariate analysis are shown to arise as marginal and conditional distributions of canonical ...