#statistics
1 note or post, 89 links.
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bayesian
O'Reilly Webcast: Bayesian Statistics Made Simple - YouTube by Allen Downey, author "Think Stats: Probability and Statistics for Programmers" in Python. Bayesian Data Analysis 3rd edition by Andrew Gelman et al..; Feb…
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Forecasting: Principles and Practice (3rd ed)
#18 - Statistics of extremes / by E. J. Gumbel - Full View | HathiTrust Digital Library
Random: Probability, Mathematical Statistics, Stochastic Processes
Statistical Shortcomings in Standard Math Libraries (And How To Fix Them)
Anton Lebedevich's Blog on statistics for monitoring systems
R Tutorial — R Tutorial
Quantnet :: R source code and graphics from a variety of stats books
R source code and graphics from a variety of stats books
Statistics Done Wrong — Statistics Done Wrong
Intro to R - YouTube
Learning Statistics with R | Computational Cognitive Science Lab
free R book. 500+ pages
10 useful R packages
9 Great Statistics papers published after 1970 - Rob Tibshirani
T-61.6020 Popular Algorithms in Data Mining and Machine Learning
implments popular algorithms in datamining.
36-402, Undergraduate Advanced Data Analysis (2012)
What are good datasets to illustrate particular aspects of statistical analysis? - Statistical Analysis - Stack Exchange
R Cookbook - Code
Fast and easy pivot tables in pandas 0.5.0 | Quant Pythonista
development - Switching from C++ to R - limitations/applications - Quantitative Finance - Stack Exchange
VCASMO - Statistics and Data Analysis in Python with pandas and statsmodels
mages' blog: R in the insurance industry
Graphics from "R Graphics" book
the rapache project
EC2 AMI for scientific computing in Python and R « Zero Intelligence Agents
Elastic-R: Collaborative Environment for Data Analysis in the Cloud
Machine Learning Exercises in R
RStudio
Cross platform R environment.
Hacker News | No, shut up. What statistical programming languages can learn from Dropbox.
UCCS | Department of Mathematics video lectures.
Why Use R? (A nice introduction to R's advantages) : programming
R for SAS and SPSS Users Book Home Page
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