REVIEW 1 cited by
Rao-Blackwellization in the MCMC era
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
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.
Forward citations
Cited by 1 Pith paper
-
Formal Bayesian Transfer Learning via the Total Risk Prior
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.
Discussion (0). Sign in to comment.