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Rao-Blackwellization in the MCMC era

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arxiv 2101.01011 v1 pith:AW76HRLH submitted 2021-01-04 stat.CO math.STstat.TH

classification stat.COmath.STstat.TH
keywords mcmcmeaningsrao-blackwellizationapproximationsblackwellcarloconnectionsdifferent
verification ladder T0 review T1 audit T2 compute T3 formal
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Rao-Blackwellization is a notion often occurring in the MCMC literature, with possibly different meanings and connections with the original Rao--Blackwell theorem (Rao, 1945 and Blackwell,1947), including a reduction of the variance of the resulting Monte Carlo approximations. This survey reviews some of the meanings of the term.

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  1. Formal Bayesian Transfer Learning via the Total Risk Prior

    stat.ML 2025-07 conditional novelty 7.0 of 10

    A Total Risk Prior makes Bayesian transfer learning formal by placing the target near the risk-minimizing combination of source models and selecting useful sources with Gibbs sampling.

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