Posts Tagged ‘ University life ’

R.I.P. StatProb?

November 22, 2010
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R.I.P. StatProb?

As posted in early August from JSM 2010 in Vancouver, StatProb was launched as a way to promote an on-line encyclopedia/wiki with the scientific backup of expert reviewers. This was completely novel and I was quite excited to take part in the venture as a representative of the Royal Statistical Society. Most unfortunately, the separation

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Introducing Monte Carlo in PaRis [more slides]

November 17, 2010
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Introducing Monte Carlo in PaRis [more slides]

The class started yesterday with a small but focussed and responsive audience! Given the background of the students, and in particular their clear proficiency in R!, I switched between the original slides of Introducing Monte Carlo Methods with R and those of my Monte Carlo Statistical Methods: course, updated by Olivier Cappé who is teaching

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Postdoc in Wharton

November 16, 2010
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Postdoc in Wharton

Just received this email from José Bernardo about an exciting postdoc position in Wharton: POST-DOCTORAL FELLOW – DEPARTMENT OF STATISTICS, THE WHARTON SCHOOL The Department of Statistics at The Wharton School of the University of Pennsylvania is seeking candidates for a Post-Doctoral Fellowship. This research fellowship provides full funding without any teaching requirements at a

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Introducing Monte Carlo in PaRis

November 14, 2010
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Introducing Monte Carlo in PaRis

As already announced on Statisfaction, I will start a short course in English based on Introducing Monte Carlo Methods with R at ENSAE next Tuesday. The slides were written by George Casella for a course he gave in Italy last spring and he kindly agreed on making them available on slideshare: Filed under:

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Bayesian Inference for Latent Gaussian Models

November 12, 2010
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Bayesian Inference for Latent Gaussian Models

An exciting conference in Zurich next February, 02-05. (I think I will attend! And not for skiing reasons!) Latent Gaussian models have numerous applications, for example in spatial and spatio-temporal epidemiology and climate modelling. This workshop brings together researchers who develop and apply Bayesian inference in this broad model class. One methodological focus is on

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Particle learning [rejoinder]

November 9, 2010
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Particle learning [rejoinder]

Following the posting on arXiv of the Statistical Science paper of Carvalho et al., and the publication by the same authors in Bayesian Analysis of Particle Learning for general mixtures I noticed on Hedibert Lopes’ website his rejoinder to the discussion of his Valencia 9 paper has been posted. Since the discussion involved several points

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Computational position in Texas

November 8, 2010
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Computational position in Texas

José Bernardo forwaded this announcement that sounds quite attractive (conditional upon living in a remote part of Texas!) Senior Faculty Position in Computational Statistics At Texas A&M University As part of a recognition of the increasing importance in the modeling and computational sciences, the Department of Statistics at Texas A&M University is recruiting for a

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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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abc

October 21, 2010
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abc

Michael Blum and Olivier François, along with Katalin Csillery, just released an R package entitled abc. (I am surprised the name was not already registered!) Its aim is obviously to implement ABC approximations for Bayesian inference: Description The ’abc’ package provides various functions for parameter estimation and model selection in an ABC framework. Three main

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Coincidence in lotteries

October 19, 2010
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Coincidence in lotteries

Last weekend, my friend and coauthor Jean-Michel Marin was interviewed (as Jean-Claude Marin, sic!) by a national radio about the probability of the replication of a draw on the Israeli Lottery. Twice the same series of numbers appeared within a month. This lotery operates on a principle of 6/37 + 1/8: 6 numbers are drawn

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