The week in stats (Nov. 25th edition)
- Revolution Analytics’ David Smith presents a 51 minute video webinar called “What Data Science can learn from small-data Statistics“
- R-fiddle.org is an early stage beta that provides you with a free and powerful environment to write, run and share R-code right inside your browser. You might want to read the following tutorial, by DataMind, before you start playing with it.
- An article on R and Bayesian Statistics discusses several popular R packages for Bayesian computations, including WinBUGS (Bayesian Inference Using Gibbs Sampling), JAGS (Just Another Gibbs Sampler) and Stan (named after Stanislaw Ulam of Monte Carlo fame), as well as some sample code and outputs.
- The Laplace Approximation is a useful way for approximating distributions and is frequently, but not exclusively, used to compute posterior distributions. Did you know that it can be carried out in a super easy way, in just four lines of code?
- And finally, for those Stata users, here are some quick ways to turn your Stata knowledge into R knowledge.
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