On sequential Monte Carlo sampling methods for Bayesian filtering
Statistics and Computing
Computational methods for complex stochastic systems: a review of some alternatives to MCMC
Statistics and Computing
Adaptive methods for sequential importance sampling with application to state space models
Statistics and Computing
Differential Evolution Markov Chain with snooker updater and fewer chains
Statistics and Computing
Adaptive independence samplers
Statistics and Computing
Bayesian inference and model comparison for asymmetric smooth transition heteroskedastic models
Statistics and Computing
Adaptive importance sampling in general mixture classes
Statistics and Computing
Metropolis---Hastings algorithms with adaptive proposals
Statistics and Computing
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