Title: A Guide to Monte Carlo Simulations in Statistical Physics / Edition 3, Author: David P. Landau
Title: A Monte Carlo Primer: A Practical Approach to Radiation Transport / Edition 1, Author: Stephen A. Dupree
Title: A Monte Carlo Primer: Volume 2 / Edition 1, Author: Stephen A. Dupree
Title: A Primer for the Monte Carlo Method / Edition 1, Author: Ilya M. Sobol
Title: Approximating Integrals via Monte Carlo and Deterministic Methods, Author: Michael Evans
Title: Bayesian Models for Categorical Data / Edition 1, Author: Peter Congdon
Title: Chaos Theory in the Financial Markets / Edition 1, Author: Robert L. Trippi
Title: Computational Physics: An Introduction To Monte Carlo Simulations Of Matrix Field Theory, Author: Badis Ydri
Title: Dealmaking: Using Real Options and Monte Carlo Analysis / Edition 1, Author: Richard Razgaitis
Title: Discretization and MCMC Convergence Assessment / Edition 1, Author: Christian P. Robert
Title: Electron-Beam Interactions with Solids: Application of the Monte Carlo Method to Electron Scattering Problems / Edition 1, Author: Maurizio Dapor
Title: Fast Sequential Monte Carlo Methods for Counting and Optimization / Edition 1, Author: Reuven Y. Rubinstein
Title: Geostatistical Simulation: Models and Algorithms / Edition 1, Author: Christian Lantuejoul
Title: Hierarchical Device Simulation: The Monte-Carlo Perspective / Edition 1, Author: Christoph Jungemann
Title: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction / Edition 2, Author: Gerhard Winkler
Title: Importance Sampling: Applications in Communications and Detection / Edition 1, Author: Rajan Srinivasan
Title: Introduction to Monte-Carlo Methods for Transport and Diffusion Equations, Author: B. Lapeyre
Title: Introductory Econometrics: Using Monte Carlo Simulation with Microsoft Excel / Edition 1, Author: Humberto Barreto
Title: Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics / Edition 1, Author: Daniel Sorensen
Title: Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition / Edition 2, Author: Dani Gamerman

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