Posts Tagged ‘ statistics ’

MCMSki IV (call for proposals)

October 15, 2012
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MCMSki IV (call for proposals)

The next MCMSki IV conference will for the first time host contributed sessions as well as invited sessions. The scientific committee thus welcomes proposals for contributed talks and even more for contributed sessions. Contributed talks are scheduled to last 20 minutes, plus questions, and contributed sessions one hour and a half, including questions, which corresponds

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structure and uncertainty, Bristol, Sept. 26

September 26, 2012
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structure and uncertainty, Bristol, Sept. 26

Another day full of interesting and challenging—in the sense they generated new questions for me—talks at the SuSTain workshop. After another (dry and fast) run around the Downs; Leo Held started the talks with one of my favourite topics, namely the theory of g-priors in generalized linear models. He did bring a new perspective on

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Core [still] minus one…

September 22, 2012
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Core [still] minus one…

Another full day spent working with Jean-Michel Marin on the new edition of Bayesian Core (soon to be Bayesian Essentials with R!) and the remaining hierarchical Bayes chapter… I have reread and completed the regression and GLM chapters, sent to very friendly colleagues for a last round of comments. Now, I am essentially idle, waiting

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MCMSki IV, Jan. 6-8, 2014, Chamonix (news #1)

September 21, 2012
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MCMSki IV, Jan. 6-8, 2014, Chamonix (news #1)

As advertised on the ‘Og, the ISBA mailing list and now the birth certificate of BayesComp (!), MCMSki IV is taking place for sure in Chamonix-Mont-Blanc, January 6-8 2014. The webpage has been started, thanks to Merrill Liechty, and should grow with informations about the location, the hotels, registration, transportation, and of course skiing (check

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ISBA towards higher computing goals [yet another new section!!!]

September 19, 2012
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ISBA towards higher computing goals [yet another new section!!!]

Surrounding the great and exciting gathering of Bayesian statisticians in Kyoto last June, several ISBA sections have appeared in the past weeks, as already mentioned on the ‘Og. Along with Anto Mira and Nicolas Chopin (who did most of the organisational work while I was wandering down under!), we discussed about a Bayesian computation section

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books for review (in CHANCE)

September 13, 2012
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books for review (in CHANCE)

Among the books I received for review in CHANCE, here are some neither I nor my “usual suspects” had enough time or interest in to review: R Graphics (second edition) by Paul Murrell Biostatistics: A computing approach by Stewart Anderson Advanced Bayesian methods for medical test accuracy by Lyle Broemeling Introduction to Probability with Texas

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Connecting data to the real world – The next sexy job?

September 11, 2012
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Connecting data to the real world – The next sexy job?

At last week's Royal Statistical Society (RSS) conference Hal Varian, Chief Economist at Google, gave a panel talk about 'Statistics at Google'. Could he get a better audience than the RSS? Hal talked about his career in academia and at Google. He remi...

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Core minus one!

September 9, 2012
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Core minus one!

Jean-Michel Marin visited me in Paris last week and, besides taking part in Pierre’s PhD defence, we made enough progress to close two more chapters of the new edition of Bayesian Core (soon to be Bayesian Essentials with R!) This follows the good work session we had in Carnon where we also completed two chapters

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Video: R, RStudio, Rcmdr & rattle

September 7, 2012
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I did a screencast for my co-workers to show how to get started with R, specifically what a base installation of R looks like, then showing how to improve your workflow using RStudio, Rcmdr or rattle.  The examples are somewhat … Continue reading →Video: R, RStudio, Rcmdr & rattle is an article from randyzwitch.com, a...

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The future of Artificial Intelligence – as imagined in 1989

September 6, 2012
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The future of Artificial Intelligence – as imagined in 1989

This image comes from the cover of Preliminary Papers of the Second International Workshop on Artificial Intelligence and Statistics (1989). Someone abandoned it in the lobby of my building at school. Whatever for, I’ll never know. I just love the idea of machine learning/AI/Statistics evoking a robot hand drawing a best fit line through some

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