Further Bernoulli factories
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Yesterday, Andrew Thomas and José Blanchet posted a note on the Bernouilli factory on arXiv. This short paper links with the recent paper of Flegal and Herbei I commented earlier. Considering the special target
+=+%5Cmin(cp,+1-%5Cepsilon)&bg=000000&fg=B0B0B0&s=0 "f(p) = \min(cp, 1-\epsilon)")
Thomas and Blanchet develop an elaborate scheme of cascading envelopes that converge to f from above. Their paper is very clear to read, the connection with the Bernstein polynomials is well-explained, the R code is available, and the ten-fold gain over the Flegal and Herbei version is impressive. However, I feel the note in its current state could be improved into a deeper paper by detailing the extension to other functions than the above, by studying further the associated computing time, and by exhibiting the limitations of the method…
Other recent arXiv postings of interest are
- Uniform Stability of a Particle Approximation of the Optimal Filter Derivative by Pierre Del Moral, Arnaud Doucet, and Sumeetpal Singh
- A Tutorial on Bayesian Nonparametric Models by Samuel J. Gershman, and David M. Blei
-
abc: an R package for Approximate Bayesian Computation (ABC) by Katalin Csilléry, Olivier François, and Michael GB Blum
the latter being presumably related with the earlier arXiv description of their R package.
Filed under: R, Statistics Tagged: ABC, Bayesian non-parametrics, Bernoulli factory, Bernstein polynomials, John von Neumann, particles
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