User:Timothee Flutre/Notebook/Postdoc/2011/11/16
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(→About statistical modeling: add Jaynes) 
(→About statistical modeling: add book Berger, add links julia, rstudio and ipython) 

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==About statistical modeling==  ==About statistical modeling==  
  * '''courses''':  +  * '''intro courses''': 
+  ** "OpenIntro Statistics" by Diez, Barr and CetinkayaRundel (free [http://www.openintro.org/stat/textbook.php textbook])  
+  ** "Mixed effects models for the population approach" by Marc Lavielle and the POPIX team at INRIA (free [http://popix.lixoft.net/index.php?title=Home_page wiki])  
+  
+  * '''advanced courses''':  
** "Advanced Data Analysis from an Elementary Point of View" by Cosma Shalizi (free [http://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/ book])  ** "Advanced Data Analysis from an Elementary Point of View" by Cosma Shalizi (free [http://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/ book])  
** "A First Course in Bayesian Statistical Methods" by Peter Hoff ([http://www.amazon.com/gp/product/0387922997 book])  ** "A First Course in Bayesian Statistical Methods" by Peter Hoff ([http://www.amazon.com/gp/product/0387922997 book])  
** "Bayesian Data Analysis" by Andrew Gelman (free [http://www.stat.columbia.edu/~gelman/book/slides slides], [http://www.amazon.com/dp/1439840954 book])  ** "Bayesian Data Analysis" by Andrew Gelman (free [http://www.stat.columbia.edu/~gelman/book/slides slides], [http://www.amazon.com/dp/1439840954 book])  
  ** "  +  ** "Statistical Decision Theory and Bayesian Analysis" by James Berger ([https://www.springer.com/statistics/statistical+theory+and+methods/book/9780387960982 2nd edition] of the book) 
  +  
* '''mathematical aspects''':  * '''mathematical aspects''':  
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** "Exploratory Data Analysis with R" by Jennifer Bryan (free [http://www.stat.ubc.ca/~jenny/STAT545A/2012lectures/ course])  ** "Exploratory Data Analysis with R" by Jennifer Bryan (free [http://www.stat.ubc.ca/~jenny/STAT545A/2012lectures/ course])  
** "Tutorial on Big Data with Python" by Marcel Caraciolo (free Python [https://github.com/marcelcaraciolo/bigdatatutorial notebooks])  ** "Tutorial on Big Data with Python" by Marcel Caraciolo (free Python [https://github.com/marcelcaraciolo/bigdatatutorial notebooks])  
  ** interpreted languages: obviously [http://openwetware.org/wiki/User:Timothee_Flutre/Notebook/Postdoc/2011/11/07 R], but more and more Python ([  +  ** interpreted languages: obviously [http://openwetware.org/wiki/User:Timothee_Flutre/Notebook/Postdoc/2011/11/07 R], but more and more Python ([https://en.wikipedia.org/wiki/Scipy SciPy] for NumPy, Matplotlib, and pandas, but see also [https://en.wikipedia.org/wiki/Scikitlearn scikitlearn] and [http://statsmodels.sourceforge.net/ statsmodels]), as well as others ([https://en.wikipedia.org/wiki/Julia_%28programming_language%29 Julia]) 
** C/C++: [http://en.wikipedia.org/wiki/GNU_Scientific_Library GSL], [http://en.wikipedia.org/wiki/Armadillo_%28C++_library%29 Armadillo], [http://en.wikipedia.org/wiki/Eigen_(C%2B%2B_library) Eigen], [http://www.rcpp.org/ Rcpp], [http://mcstan.org/ Stan]  ** C/C++: [http://en.wikipedia.org/wiki/GNU_Scientific_Library GSL], [http://en.wikipedia.org/wiki/Armadillo_%28C++_library%29 Armadillo], [http://en.wikipedia.org/wiki/Eigen_(C%2B%2B_library) Eigen], [http://www.rcpp.org/ Rcpp], [http://mcstan.org/ Stan]  
  ** editor: obviously [https://openwetware.org/wiki/User:Timothee_Flutre/Notebook/Postdoc/2012/07/25 Emacs] (languageagnostic, orgmode, etc)  +  ** editor: obviously [https://openwetware.org/wiki/User:Timothee_Flutre/Notebook/Postdoc/2012/07/25 Emacs] (languageagnostic, orgmode, etc), but also [https://en.wikipedia.org/wiki/RStudio Rstudio] (Ronly...) and [https://en.wikipedia.org/wiki/Ipython IPython] (Pythononly...) 
* '''visualizing, plotting''':  * '''visualizing, plotting''': 
Revision as of 19:31, 26 December 2013
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About statistical modeling
