Posts Tagged ‘ statistics ’

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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A look at Bayesian statistics

September 3, 2012
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A look at Bayesian statistics

An introduction to Bayesian analysis and why you might care. Fight club The subject of statistics is about how to learn.  Given that it is about the unknown, it shouldn’t be surprising that there are deep differences of opinion on how to go about doing it (in spite of the stereotype that statisticians are accountants … Continue reading...

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