Bayesian Time Series Methods

Temporal Markov Chain Monte Carlo (MCMC) Methods

Sampling techniques adapted for inference in Bayesian time series models, where Markov chains explore the parameter and hidden state space. They allow approximation of complex posterior distributions when analytical solutions are impossible.

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