Monte Carlo Methods

Monte Carlo methods are computational methods for evaluating expectations and probabilities. These methods can be used in situations where exact values are difficult or impossible to obtain. Monte Carlo methods are widely used in practice, application areas include Bayesian statistics, computational physics, digital image processing and computational biology. The objective of this project is to study different aspects of Monte Carlo methods and to illustrate the results with the help of examples and numerical experiments.