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Sequential Monte Carlo Methods in Practice

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Simulation and the Monte Carlo Method

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Simulated Annealing: Theory and Applications

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Monte Carlo Statistical Methods

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Markov Chain Monte Carlo in Practice

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Markov Chains and Stochastic Stability

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Bayesian Inference in Econometric Models Using Monte Carlo Integration

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MONTE CARLO METHODS

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Sampling-Based Approaches to Calculating Marginal Densities

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Uncertainty in Artificial Intelligence

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Monte Carlo Strategies in Scientific Computing

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The Unscented Particle Filter

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The World-Wide Web

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Factorial Hidden Markov Models

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Bayesian Model Choice Via Markov Chain Monte Carlo Methods

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Probabilistic Inference Using Markov Chain Monte Carlo Methods

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Bayesian Computation and Stochastic Systems

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Monte Carlo Methods in Bayesian Computation

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A Language and Program for Complex Bayesian Modelling

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Simulated annealing: Theory and applications

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Optimum Monte-Carlo sampling using Markov chains

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Recursive Bayesian Estimation : Navigation and Tracking Applications

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Reversible Jump Markov Chain Monte Carlo Computation and Bayesian Model Determination

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Adaptive sampling — an iterative fast Monte Carlo procedure

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Simulation and the Monte Carlo Method

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Factorial Hidden Markov Models.

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Monte Carlo POMDPs

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Sequential Monte Carlo Methods to Train Neural Network Models

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Practical Nonparametric and Semiparametric Bayesian Statistics

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The Metropolis Algorithm

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Digital Audio Restoration: A Statistical Model Based Approach

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Issues in Bayesian Analysis of Neural Network Models

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Speech and Audio Processing

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Robust Full Bayesian Learning for Radial Basis Networks

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Decision Analysis by Augmented Probability Simulation

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Factorial Learning and the EM Algorithm

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