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The Bayesian statistical paradigm uses the language of probability to express uncertainty about the phenomena that generate observed data.
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Efficient Bayesian synthetic likelihood with whitening transformations
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Accurate approximations for posterior moments and marginal densities
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Chib, S. (1995) · 1995
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Rao-Blackwellisation of sampling schemes
Casella, G. and Robert, C. (1996) · 1996
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Gallant, A. R. and Tauchen, G. (1996) · 1996
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Sampling from multimodal distributions using tempered transitions
Neal, R. (1996) · 1996
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Raftery, A. (1996) · 1996
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Exponential convergence of Langevin distributions and their discrete approximations
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Neal, R. (1998) · 1998
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