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Bayesian MCMC nonlinear time series prediction

A MCMC (Markov chain Monte Carlo) algorithm is proposed for nonlinear time series prediction with a hierarchical Bayesian framework. The algorithm computes predictive mean and error bar by drawing samples from predictive distributions. The algorithm is tested against time series generated by a (chaotic) Rossler system and it outperforms quadratic approximations previously proposed by the authors.