User:Timothee Flutre/Notebook/Postdoc/2011/11/16

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==About statistical modeling==
==About statistical modeling==
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* visualizing, plotting:
+
* '''great courses''':
 +
** "Advanced Data Analysis from an Elementary Point of View" by Cosma Shalizi (free online [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])
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** "Bayesian Data Analysis" by Andrew Gelman (free online [http://www.stat.columbia.edu/~gelman/book/slides slides])
 +
 
 +
* '''mathematical aspects''':
 +
** "Intro to Linear Algebra" by Gilbert Strang
 +
** "Multivariate Calculus" by Magnus and Neudecker
 +
 
 +
* '''practical, computational aspects''':
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** "Exploratory Data Analysis with R" by Jennifer Bryan (free online [http://www.stat.ubc.ca/~jenny/STAT545A/2012-lectures/ course])
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** editor: Emacs
 +
** interpreted languages: R, Python and others (Julia?)
 +
** C/C++: GSL, Armadillo, Eigen, Rcpp
 +
 
 +
* '''visualizing, plotting''':
** "Visualizing uncertainty about the future" by Spiegelhalter, et al. (Science 2011, [http://dx.doi.org/10.1126/science.1191181 DOI])
** "Visualizing uncertainty about the future" by Spiegelhalter, et al. (Science 2011, [http://dx.doi.org/10.1126/science.1191181 DOI])
** "Let's practice what we preach: turning tables into graphs": 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": Gelman et al (The American Statistician 2002, [http://dx.doi.org/10.1198/000313002317572790 DOI])
 +
 +
* '''philosophy, history''':
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** Christian Hennig
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** Andrew Gelman and Cosma Shalizi
 +
** Christian Robert
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Revision as of 00:05, 28 November 2013

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About statistical modeling

  • great courses:
    • "Advanced Data Analysis from an Elementary Point of View" by Cosma Shalizi (free online book)
    • "A First Course in Bayesian Statistical Methods" by Peter Hoff (book)
    • "Bayesian Data Analysis" by Andrew Gelman (free online slides)
  • mathematical aspects:
    • "Intro to Linear Algebra" by Gilbert Strang
    • "Multivariate Calculus" by Magnus and Neudecker
  • practical, computational aspects:
    • "Exploratory Data Analysis with R" by Jennifer Bryan (free online course)
    • editor: Emacs
    • interpreted languages: R, Python and others (Julia?)
    • C/C++: GSL, Armadillo, Eigen, Rcpp
  • visualizing, plotting:
    • "Visualizing uncertainty about the future" by Spiegelhalter, et al. (Science 2011, DOI)
    • "Let's practice what we preach: turning tables into graphs": Gelman et al (The American Statistician 2002, DOI)
  • philosophy, history:
    • Christian Hennig
    • Andrew Gelman and Cosma Shalizi
    • Christian Robert


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