William M. Briggs | Statistician to the Stars!
wikipedia: SAS System
Pearson Correlation Coefficient, Covariance Matrix and Linear Dependency « Yi Wang's Tech Notes
Stochastic Sampling « Yi Wang's Tech Notes
Parameter Estimation | Benn Thomsen
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers · GitHub
Linear Regression For Fun And Profit
A/B Testing Duration Data
How Not To Run An A/B Test
Statistical Formulas For Programmers
Bayesian Average Ratings
Frequentism and Bayesianism: A Practical Introduction
Kalman FilterBilgin's Blog | Kalman Filter for Dummies
The Kalman Filter
Kalman filter – simplified version | Robotics / Electronics / Physical Computing
R ProjectThe R Project for Statistical Computing
Detecting Pitches In Music With R
Togaware: Rattle: A Graphical User Interface for Data Mining using R
Togaware: Rattle: Installation on GNU/Linux
Togaware: One Page R: A Survival Guide to Data Science with R
R Bootcamp — Jared Knowles
Shiny - Shiny combines the computational power of R with the interactivity of the modern web.
avrilcoghlan/LittleBookofRBayesianStatistics - Little Book of R for Bayesian Statistics.
Fermi problem - Wikipedia, the free encyclopedia
Bloom Filtersa query returns either "possibly in set" or "definitely not in set". Elements can be added to the set, but not removed (though this can be addressed with a "counting" filter). The more elements that are added to the set, the larger the probability of false positives.Bloom filter - Wikipedia
Bloom Filters by Example
Watch PyCon 2011: Handling ridiculous amounts of data with probabilistic data structures | PyCon US Videos - 2009, 2010, 2011 Episodes | Learning Videos | Blip
ctb/khmer - khmer is a library and suite of command line tools for working with DNA sequence. It is primarily aimed at short-read sequencing data such as that produced by the Illumina platform. khmer takes a k-mer-centric approach to sequence analysis, hence the name.