For the past few months, I've been spending most of my working hours on BayesHive, the brainchild of Tom Nielsen, CEO of OpenBrain. This is a web platform for doing Bayesian data analysis, intended to make these powerful methods more accessible for scientists and other data analysts.
We opened the system to some alpha users a while ago, but this week we've decided we're ready for wider beta testing, for people to have a look, kick the tyres and tell us what they think.
I've mostly been working on the web app part of the system, but in this post I want to talk a little bit about the general idea behind the system and the Bayesian approach to statistics. (As far as BayesHive goes, the system is made up of a reasonably complicated single page web app using the AngularJS framework, a Yesod server process to deal with the management of documents, data and models, and a model compiler and inference engine that does all the clever stuff.)