Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods. That variety stimulates new ideas and developments from many different places, and there is much to be gained from cro
MARKOV CHAIN MONTE CARLO FOUNDATIONS & APPLICATIONS Lecture Notes (UCB CS294)
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Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods. That variety stimulates new ideas and developments from many different places, and there is much to be gained from cro
* Introduction to Markov Chain Monte Carlo Simulations and their Statistical Analysis (B A Berg) * An Introduction to Monte Carlo Methods in Statistical Physics (D P Landau) * Notes on Perfect Simulation (W S Kendall) * Sequential Monte Carlo Methods and Their Applications (R Chen) * Markov Cha
Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods. That variety stimulates new ideas and developments from many different places, and there is much to be gained from cro
Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an emphasis on those making use of past sample information during simulations. The application examples are drawn from diverse fields such as bi