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Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables
Accelerating Monte Carlo methods for Bayesian inference in dynamical models
Quasi-Newton particle Metropolis-Hastings
Sequential Monte Carlo methods (particle filtering/smoothing) for a toy problem
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