Quels blogs de recherche statistique recommanderiez-vous et pourquoi?
references
csgillespie
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Réponses:
http://www.r-bloggers.com/ est un blog regroupant de nombreux blogs qui parlent de statistiques utilisant R, et le hashtag #rstats sur Twitter est également utile. J'écris beaucoup sur les statistiques et la recherche en génétique .
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R
, you should consider signing up for the R-help (& possibly other) mailing lists as well. Your in-box will be spammed w/ 100 posts a day, but they can easily be ignored & you can just take in a quick note about topics that interest you w/o undue hassle. This will go part way towards covering the needs that r-bloggers serves.Statistical Modeling, Causal Inference, and Social Science from Andrew Gelman is a good blog.
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The Endeavour sometimes features statistics posts. Otherwise it is mostly around the interplay of computer science and math.
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In addition to those already mentioned, I like Rob Hyndman's blog:
http://robjhyndman.com/researchtips/
I guess he's too modest to mention it himself! ;-)
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Cosma Shalizi's blog, often talks about statistics, and is always interesting.
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<link rel="alternate" type="application/rss+xml" title="RSS" href="http://cscs.umich.edu/~crshalizi/weblog/index.rss" />
in his the<head>
section of the HTML document for Firefox to pick it up automatically :)XI'AN'S OG
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Darren Wilkinson's research blog
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I like Dave Giles' blog Econometrics Beat It has a time series focus, but lots of other interesting things as well. Here's a nice post on the Pythagorean means.
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simplystatistics.org is rather good. It is run by three biostatistics professors (Jeff Leek, Roger Peng, and Rafa Irizarry).
http://simplystatistics.org/
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Luckily now you don't have to spend too much effort finding good blogs. Stats Blogs is a relatively new aggregator which compiles a collection of blogs focused on statistics. A lot of the blogs mentioned are aggregated there.
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http://blog.thegrandlocus.com/
This blog mixes basic concepts of statistics, everyday life and research. A must-read.
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FlowingData is a good read, with an emphasis on data visualization
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Statistical Ideas at [email protected] for a mix of applied finance and theory.
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