Recently, I’ve came across some interesting new applications of Bayesian statistics.
Tags » Bayesian
It’s possible to Gibbs sampling in most languages and since I am doing some work in R and some work in Haskell, I thought I’d present a simple example in both languages: estimating the mean from a normal distribution with unknown mean and variance. 1,422 more words
I’ve been thinking a lot about how best to include trials that report incomplete stats (or just not the stats you want) in a meta-analysis. This led me to a… 177 more words
As discussed in the previous post, the remaining task is to implement the second step of the Gibbs sampler, i.e., to uniformly sample from the following curve, 264 more words
Yesterday, I gave my first webinar, or online lecture if you want. The occasion was that a few people from another university asked me if I could give an introductory lecture about Bayesian statistics, and because traveling would have cost me a full day, I suggested doing a “virtual visit” instead. 423 more words
This is a programmatic post, compiling some of my most fundamental personal beliefs about statistics. To all of its content I of course appreciate any comments and discussion, despite the partially polemic manifesto style that kept me having fun writing it. 3,818 more words