Blog Archives

Questions on the parallel Rao-Blackwellisation

December 21, 2010
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Questions on the parallel Rao-Blackwellisation

Pierre Jacob and I got this email from a student about our parallel Rao-Blackwellisation paper. Here are some parts of the questions and our answer: Although I understand how the strategy proposed in the paper helps in variance reduction, I do not understand why you set b=1 (mentioned in Section 3.2) and why it plays

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Back from Philly

December 20, 2010
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Back from Philly

The conference in honour of Larry Brown was quite exciting, with lots of old friends gathered in Philadelphia and lots of great talks either recollecting major works of Larry and coauthors or presenting fairly interesting new works. Unsurprisingly, a large chunk of the talks was about admissibility and minimaxity, with John Hartigan starting the day

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AMIS revised & resubmitted

December 18, 2010
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AMIS revised & resubmitted

After a thorough revision that removed most of the theoretical attempts at improving our understanding of AMIS convergence, we have now resubmitted the AMIS paper to Scandinavian Journal of Statistics and arXived the new version as well. (I remind the reader that AMIS stands for adaptive mixture importance sampling and that it implements an adaptive

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Disas-tea-R at dawn

December 16, 2010
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Disas-tea-R at dawn

This was bound to happen sooner or later, given my addiction to tea and sleepless nights, so I eventually managed to spill a cup of tea over my Mac… I had been working for a few hours in my hotel room in Philadelphia, completing an ABC paper with Jean-Michel Marin and Robin Ryder. We had

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Adap’skiii [latest]

December 13, 2010
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Adap’skiii [latest]

Just to point out there still is room for more participants to the Adap’skiii workshop! We have now reached 60 participants for this Utah workshop and would welcome more, quite obviously! All participants are also free to present a poster on the evening of the 4th, in the bar. Filed under: pictures, R, Statistics, Travel,

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Truly random [again]

December 9, 2010
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Truly random [again]

“The measurement outputs contain at the 99% confidence level 42 new random bits. This is a much stronger statement than passing or not passing statistical tests, which merely indicate that no obvious non-random patterns are present.” arXiv:0911.3427 As often, I bought La Recherche in the station newsagent for the wrong reason! The cover of the

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Bayesian model selection

December 7, 2010
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Bayesian model selection

Last week, I received a box of books from the International Statistical Review, for reviewing them. I thus grabbed the one whose title was most appealing to me, namely Bayesian Model Selection and Statistical Modeling by Tomohiro Ando. I am indeed interested in both the nature of testing hypotheses or more accurately of assessing models,

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Le Monde puzzle [49]

December 7, 2010
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Le Monde puzzle [49]

Here is a quick-and-dirty solution to Le Monde puzzle posted a few days ago: the R code counts the number of winning tickets between 1 and N, and stops when there is a proportion of 10% of winning tickets. #winning ticket win=function(n){ #decimal digits decomposition x=rep(0,4) x=n%%10 m=(n-x)/10 x=m%%10 m=(m-x)/10 x=m%%10 m=(m-x)/10 x=m%%10 tic=0 for

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Bayesian adaptive sampling

December 5, 2010
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Bayesian adaptive sampling

In the continuation of my earlier post on computing evidence, I read a very interesting paper by Merlise Clyde, Joyee Ghosh and Michael Littman, to appear in JCGS. It is called  Bayesian adaptive sampling for variable selection and model averaging. The sound idea at the basis of the paper is that, when one is doing

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Le Monde puzzle [48: resolution]

December 4, 2010
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Le Monde puzzle [48: resolution]

The solution to puzzle 48 given in Le Monde this weekend is rather direct (which makes me wonder why the solution for 6 colours is still unavailable..) Here is a quick version of the solution: Consider one column, 1 say. Since 326=5×65+1, there exists one value c with at least 66 equal to c. Among

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