User:Timothee Flutre/Notebook/Postdoc/2011/11/16
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(→About statistical modeling: add biometrika + links) 
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** "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])  ** "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])  
** "Graphical Models" by Zoubin Ghahramani (2012, free [http://videolectures.net/mlss2012_ghahramani_graphical_models/ video & slides])  ** "Graphical Models" by Zoubin Ghahramani (2012, free [http://videolectures.net/mlss2012_ghahramani_graphical_models/ video & slides])  
+  ** [http://swirlstats.com/ swirl], R package to learn stats and R simultaneously and interactively  
* '''advanced courses''':  * '''advanced courses''':  
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* '''practical, computational aspects''':  * '''practical, computational aspects''':  
  ** "How to share data with a statistician" by Jeff Leek ([https://github.com/jtleek/datasharing procedure] on GitHub), see also "statistical consulting" by Karl Broman ([http://www.biostat.wisc.edu/~kbroman/teaching/misc/consulting.pdf slides])  +  ** "How to share data with a statistician" by Jeff Leek ([https://github.com/jtleek/datasharing procedure] on GitHub), see also the [http://simplystatistics.org/2014/02/03/thethreetablesforgenomicscollaborations/ advice] on genomics metadata by Raphael Irrizary and "statistical consulting" by Karl Broman ([http://www.biostat.wisc.edu/~kbroman/teaching/misc/consulting.pdf slides]) 
** "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])  
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* '''philosophy, history, pragmatism''':  * '''philosophy, history, pragmatism''':  
** "Statistical analysis and the illusion of objectivity" by Berger and Berry (American Scientist 1988, [http://dx.doi.org/10.1016/02782316(88)900576 DOI], [http://www.medicine.mcgill.ca/epidemiology/joseph/courses/EPIB675/Berger.Berry.pdf pdf])  ** "Statistical analysis and the illusion of objectivity" by Berger and Berry (American Scientist 1988, [http://dx.doi.org/10.1016/02782316(88)900576 DOI], [http://www.medicine.mcgill.ca/epidemiology/joseph/courses/EPIB675/Berger.Berry.pdf pdf])  
  ** "Where do we stand on maximum entropy?" by E. T. Jaynes (1978, free [http://bayes.wustl.edu/etj/articles/stand.on.entropy.pdf pdf])  +  ** "Bayesian methods: general background" by E. T. Jaynes (1985, free [http://bayes.wustl.edu/etj/articles/general.background.pdf pdf]) and "Where do we stand on maximum entropy?" by E. T. Jaynes (1978, free [http://bayes.wustl.edu/etj/articles/stand.on.entropy.pdf pdf]) 
** "Mathematical Models and Reality: A Constructivist Perspective" by Christian Hennig (Foundations of Science 2010, [http://dx.doi.org/10.1007/s106990099167x DOI])  ** "Mathematical Models and Reality: A Constructivist Perspective" by Christian Hennig (Foundations of Science 2010, [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]) 
Revision as of 08:52, 9 February 2014
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About statistical modeling
