Computation of Confidence Limits for the Mean of a Lognormal Distribution

tl;dr Thought some old code for calculating confidence limits for the mean of a lognormal distribution was lost. Found it yesterday.

Bayesian Bandits - Just the Beginning of the Story

Earlier this year, I put together an online Bayesian Bandit explorer as part of learning how these things work. These are used in lots of different areas, but one in particular is for selecting ads for display on a web page. Really, this would be applicable in any scenario where there will be lots of potential chances for putting something in front of someone, and you can measure the success or not of this placement.

What I have not done yet is look more deeply into exactly how this would actually be applied. I will being to scratch the surface on that here (as I understand it).

Exploring the Average/Mean - a D3 Visualization

This is a short note on an interactive visualization I have been playing with for exploring the average/mean. It is intended for folks who may be very new to statistics. It is embedded below from this site on googledrive.

Exploration of the Lognormal Distribution - a D3/MathJax/jStat Interactive Visualization

This is a short note on a interactive visualization I have been playing with. It is embedded below from this site on googledrive. Depending on your browser and device, there may be rendering quirks with MathJax and/or the embedding iframe - please let me know if you see any oddities. It looks fine for me in the latest version of Chrome on a desktop (and I've updated some things to improve responsive design).