User:Timothee Flutre/Notebook/Postdoc/2011/11/16
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(→About statistical modeling: add links) 
(→About statistical modeling: add links Leek, Kass, litterature) 

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* '''great courses''':  * '''great courses''':  
  ** "Advanced Data Analysis from an Elementary Point of View" by Cosma Shalizi (free  +  ** "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  +  ** "Bayesian Data Analysis" by Andrew Gelman (free [http://www.stat.columbia.edu/~gelman/book/slides slides], [http://www.amazon.com/dp/1439840954 book]) 
* '''mathematical aspects''':  * '''mathematical aspects''':  
  ** "Introduction to Linear Algebra" by Gilbert Strang (free  +  ** "Introduction to Linear Algebra" by Gilbert Strang (free [http://ocw.mit.edu/courses/mathematics/1806linearalgebraspring2010/ videos], [http://www.amazon.com/dp/0980232716 book]) 
  ** "Matrix Differential Calculus with Applications in Statistics and Econometrics" by Magnus and Neudecker (free  +  ** "Matrix Differential Calculus with Applications in Statistics and Econometrics" by Magnus and Neudecker (free [http://www.janmagnus.nl/misc/mdc20073rdedition pdf], [http://www.amazon.com/dp/047198633X book]) 
* '''practical, computational aspects''':  * '''practical, computational aspects''':  
  ** "Exploratory Data Analysis with R" by Jennifer Bryan (free  +  ** "How to share data with a statistician" by Jeff Leek (free on [https://github.com/jtleek/datasharing github]) 
  ** "Tutorial on Big Data with Python" by Marcel Caraciolo (free  +  ** "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])  
** interpreted languages: obviously [http://openwetware.org/wiki/User:Timothee_Flutre/Notebook/Postdoc/2011/11/07 R], but more and more Python ([http://www.scipy.org/ SciPy] for NumPy, IPython, Matplotlib, and pandas, but also [http://scikitlearn.org/ scikitlearn] and [http://statsmodels.sourceforge.net/ statsmodels]), as well as others (Julia?)  ** interpreted languages: obviously [http://openwetware.org/wiki/User:Timothee_Flutre/Notebook/Postdoc/2011/11/07 R], but more and more Python ([http://www.scipy.org/ SciPy] for NumPy, IPython, Matplotlib, and pandas, but also [http://scikitlearn.org/ scikitlearn] and [http://statsmodels.sourceforge.net/ statsmodels]), as well as others (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]  
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** "Let's practice what we preach: turning tables into graphs" by Gelman et al. (The American Statistician 2002, [http://dx.doi.org/10.1198/000313002317572790 DOI])  ** "Let's practice what we preach: turning tables into graphs" by Gelman et al. (The American Statistician 2002, [http://dx.doi.org/10.1198/000313002317572790 DOI])  
  * '''philosophy, history''':  +  * '''philosophy, history, pragmatism''': 
** "Mathematical Models and Reality: A Constructivist Perspective" by Christian Hennig (Foundations of Science 2007, [http://dx.doi.org/10.1007/s106990099167x DOI])  ** "Mathematical Models and Reality: A Constructivist Perspective" by Christian Hennig (Foundations of Science 2007, [http://dx.doi.org/10.1007/s106990099167x DOI])  
** "Philosophy and the practice of Bayesian statistics" by Andrew Gelman and Cosma Shalizi (British Journal of Mathematical and Statistical Psychology 2013, [http://dx.doi.org/10.1111/j.20448317.2011.02037.x DOI])  ** "Philosophy and the practice of Bayesian statistics" by Andrew Gelman and Cosma Shalizi (British Journal of Mathematical and Statistical Psychology 2013, [http://dx.doi.org/10.1111/j.20448317.2011.02037.x DOI])  
  ** "Des spécificités de l’approche bayésienne et de ses justifications en statistique inférentielle" by Christian Robert (chapitre 2013, free  +  ** "Statistical Inference : the Big Picture" by Robert Kass (Statistical Science 2011, [http://dx.doi.org/10.1214/10STS337 DOI], free [http://arxiv.org/pdf/1106.2895v2.pdf pdf] on arXiv) 
+  ** "In Praise of Simplicity not Mathematistry! Ten Simple Powerful Ideas for the Statistical Scientist" by Roderick Little (JASA 2013, [http://dx.doi.org/10.1080/01621459.2013.787932 DOI])  
+  ** "Des spécificités de l’approche bayésienne et de ses justifications en statistique inférentielle" by Christian Robert (chapitre 2013, free [http://hal.archivesouvertes.fr/docs/00/87/01/24/PDF/Bayes.pdf pdf] on HAL)  
* '''classics''':  * '''classics''':  
** [https://www.ceremade.dauphine.fr/~xian/M2classics.html list] from Christian Robert  ** [https://www.ceremade.dauphine.fr/~xian/M2classics.html list] from Christian Robert  
+  
+  * '''litterature, community''':  
+  ** Annals of Statistics, JRSSB, JASA, Annals of Applied Statistics, Bayesian Analysis, JMRL, NIPS  
+  ** Biometrics, Biostatistics  
+  ** Statistical Science, The American Statistician  
+  ** see also on [http://projecteuclid.org/ Project Euclid] and [http://arxiv.org/archive/stat arXiv]  
+  ** blogs: [http://andrewgelman.com/ Andrew Gelman], [http://xianblog.wordpress.com/ Christian Robert], [http://normaldeviate.wordpress.com/ Larry Wasserman]  
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Revision as of 21:17, 29 November 2013
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