Conditional probability and independence. Random variables and their distributions. Moments and generating functions. Transformations. Sequences of random variables and convergence. Multivariate ...

Thus, in this module, we’ll learn about the concept of “joint distribution” which allows us to generalize probability theory to the multivariate case. The Central Limit Theorem (CLT) is a crucial ...

Addresses the topics of probability, random variables, discrete and continuous densities, expectation and variance, special distributions (binomial, Poisson, normal, etc.), moment generating functions ...

The course covers the probability, distribution theory and statistical ... Monte Carlo Simulation using R. Joint distributions and joint moments. Marginal and conditional densities. Independence, ...