March 2019
Beginner to intermediate
448 pages
13h 14m
English
Content preview from R Statistics Cookbook
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Getting the posterior density in STAN
STAN is the leading Bayesian engine for R, both for academia and the industry. Its performance is very good, mainly because it is written in C++.
In Bayesian statistics, and we have a very different approach than in classical statistics. Here, each coefficient will behave as a random variable, and we will use appropriate algorithms to recover the distribution of each one of them. But there is an extra element here, we will be able to incorporate prior distributions into our approach. Consequently, the idea will be the following:
Bayesian statistics could be interpreted as an approach where we have a ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.