Although the title is "Bayesian financial models", this article describes no Bayesian financial models. It gives an example of Bayes' theorem in action (the usu

Although the title is "Bayesian financial models", this article describes no Bayesian financial models. It gives an example of Bayes' theorem in action (the usual medical "probability of false positive" one), and then gives another toy example in which the events we're looking at are labelled "happy/sad market sentiment" and "stock price increase/decrease" -- and that's it. I guess this is part of a series on probability or quantitative analysis or something[1], and there will be more contentful stuff later in the series, but I don't see how anyone's going to learn very much from this one. [1] Looking at other articles on the site, it looks like they're all about quantitative analysis. They all have rather the same character as this one: they introduce some notion (binary options, "Greeks" (first partial derivatives of derivative price w.r.t. various things), etc.), they state some definitions and maybe give a toy example or a couple of formulae, and then they stop. I assume the toddmoses who posted the link to HN is also the Todd Moses who wrote the article. Todd, if you're reading this, would you like to say a few words about the intended future direction of your articles? Is the idea that they will form a kind of informal course on the elements of quantitative analysis? Will they be getting "deeper" than the ones so far, or are you intending that they will all be basically giving some definitions and a few words of explanation?