## CosmoPMC released

**M**artin Kilbinger, an astronomer (cosmologist) with whom we had worked on population Monte Carlo for cosmological inference [during the ANR-05-BLAN-0283- 04 ANR ECOSSTAT grant], 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 this publication, even though I never directly contributed to the codes… On a wider perspective, this collaboration between cosmologists and Bayesian and computational statisticians was both fruitful and enjoyable and I hope we can pursue it in the future. A very nice thing about astronomers (among many!) is that they naturally adopt a Bayesian way of thinking about their parameters. This, plus their high math and programming skills, makes the cost of entering a collaboration very low!

April 20, 2011 at 12:15 am

[…] later. Something I was not aware is the appearance of iterative adaptive importance sampling (i.e. population Monte Carlo) in the Bayesian literature of the 1980′s, with proposals from Herman van Dijk, Adrian Smith, […]

March 18, 2011 at 4:40 pm

[…] parameter spaces using Box-Cox transformations by Joachimi and Taylor from Edinburgh, is using cosmoPMC, apparently with very good performances. Here is the […]