Cigarette Taxes TL;DR Raising the cigarette tax by one cent in every state will save us about $1 billion per year. In the grand scheme of health care costs, it isn’t that much money. So with this post, I wanted […]
I have written a lot of blog posts on using PYMC3 to do bayesian analysis. And I have a few where I have even dealt with Time-Series datasets. To name a one, I have done one on time varying coefficients. […]
Okay so today I want to talk about something really cool that you can do with time-series / panel data. That is, you can allow the coefficients in the model change over time. It is a really neat idea, but […]
So for the past month or so, I have been writing a lot of posts about Bayesian Statistics.You might be wondering why I’ve spent so much time in the area. You might even suspect that you know the answer, but […]
So in the last two blog posts, I talked about how to do some bayesian inference in the realm of some linear models. And that is all well and good, but we can have even more fun in a bayesian […]
In my last post I talked about bayesian linear regression. A fairly straightforward extension of bayesian linear regression is bayesian logistic regression. Actually, it is incredibly simple to do bayesian logistic regression. If you were following the last post that […]
This post is a direct response to the request made by @Zecca_Lehn on twitter (Yes I will write tutorials on your suggestions). What he wanted to know was how to do a Bayesian Poisson A/B tests. So for those of […]
Okay, so normally I do frequentist statistics. Most of my training has been in that realm. However, I do recognize that bayesian is really the way to go. The idea of updating a prior is really appealing to me. The […]