Introduction.- Foundation of Bayesian Inversion and Sampling Methods.- Beyond the Random Walk: a Hybrid Monte Carlo Sampling.- Interpret Model Complexity: Trans-Dimensional Markov Chain Monet Carlo Method.- Accelerated Bayesian Inversion Using Parallel Tempering