Improving Probability and Random Processes

SymPy statistics module supports a variety of probability distributions, including finite, continuous, discrete distributions. The aim of this project is to make the module support a variety of new features, by building upon the already existing ones. This involves implementing joint distributions and compound distributions, which will in turn allow the assumption of dependence between random variables. The project also aims to implement the random processes Markov Chains and random walks, which are not implemented at all. Finally, the ability to export SymPy random variable objects to other Statistical libraries is also something that will be achieved during the course of the project.