Home > Bayes Theorem, Data, Machine Learning, Statistics > Statistics – Bayesian Theorem, R, et al

Statistics – Bayesian Theorem, R, et al

Thomas Bayes and Bayes’s Theorem
http://www.farnamstreetblog.com/2012/12/thomas-bayes-and-bayess-theorem/

An Introduction to Regression Analysis
http://www.law.uchicago.edu/files/files/20.Sykes_.Regression.pdf

Recommended survey papers
http://robjhyndman.com/researchtips/surveypapers/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+RobJHyndman-ResearchTips+%28Research+tips%29

Data sources/data feeds available as packages in R
http://stats.stackexchange.com/questions/12670/data-sources-data-feeds-available-as-packages-in-r

Engineering Data Analysis (with R and ggplot2) – a Google Tech Talk given by Hadley Wickham
http://www.r-statistics.com/tag/ggplot2/

Machine learning cookbook / reference card / cheatsheet?
http://stats.stackexchange.com/questions/12386/machine-learning-cookbook-reference-card-cheatsheet

The Man Behind the Bayesian Theorem
http://thinking.netezza.com/video/man-behind-bayesian-theorem

R
http://www.r-project.org/

website of Hadley Wickham
http://had.co.nz/

Engineering Data Analysis (with R and ggplot2)
http://www.youtube.com/watch?v=TaxJwC_MP9Q&feature=youtube_gdata

What are good references containing arguments against ?
http://stats.stackexchange.com/questions/10510/what-are-good-references-containing-arguments-against-null-hypothesis-significanc

Bollinger: Yesterday, Today and Tomorrow: A Trip Through Computational Finance
http://www.rinfinance.com/agenda/2011/JohnBollinger.ppt

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