Posts Tagged ‘ population Monte Carlo ’

Special issue of TOMACS

March 9, 2011
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Special issue of TOMACS

TOMACS (ACM Transactions on Modeling and Computer Simulation) is launching a call for paper submission. The special topic is Monte Carlo Methods in Statistics and Arnaud Doucet and myself are the special issue editors. Here are the details.: Over the last two decades Monte Carlo methods have attracted much attention from statisticians as they provide

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CosmoPMC released

January 12, 2011
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CosmoPMC released

Martin Kilbinger, an astronomer (cosmologist) with whom we had worked on population Monte Carlo for cosmological inference , has made the PMC C codes available on the CosmoPMC webpage. He has also written a CosmoPMC manual that is now available from arXiv. And he very kindly associated me to

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ABC lectures [finale]

October 31, 2010
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ABC lectures [finale]

The latest version of my ABC slides is on slideshare. To conclude with a pun, I took advantage of the newspaper clipping generator once pointed out by Andrew. (Note that nothing written in the above should be taken seriously.) On the serious side, I managed to cover most of the 300 slides (!) over the

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IMIS & AMIS

July 29, 2010
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IMIS & AMIS

A most interesting paper by Adrian Raftery and Le Bao appeared in the Early View section of Biometrics.  It aims at better predictions for HIV prevalence—in the original UNAIDS implementation, a naïve SIR procedure was used, based on the prior as importance function, which sometimes resulted in terrible degeneracy—, but its methodological input is about

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t-walk on the banana side

March 14, 2010
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t-walk on the banana side

Following my remarks on the t-walk algorithm in the recent A General Purpose Sampling Algorithm for Continuous Distributions, published by Christen and Fox in Bayesian Analysis that acts like a general purpose MCMC algorithm, Darren Wraith tested it on the generic (10 dimension) banana target we used in the cosmology paper. Here is an output

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