Richardson S, Gilks WR, Spiegelhalter DJ. (1996). Markov chain Monte Carlo in practice.

See more from authors: Richardson S · Gilks WR · Spiegelhalter DJ

References and models cited by this paper
References and models that cite this paper

Fujita H, Ishii S. (2007). Model-based reinforcement learning for partially observable games with sampling-based state estimation. Neural computation. 19 [PubMed]

Iwata T et al. (2007). Parametric embedding for class visualization. Neural computation. 19 [PubMed]

Miazhynskaia T, Frühwirth-Schnatter S, Dorffner G. (2008). Neural network models for conditional distribution under bayesian analysis. Neural computation. 20 [PubMed]

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