March 2019
Beginner to intermediate
448 pages
13h 14m
English
Content preview from R Statistics Cookbook
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Introduction
In this chapter, we present several Bayesian techniques in R, using either STAN or JAGS (both are the most important software packages that can be used in R). Bayesian statistics is fundamentally different from classical statistics. In the latter, parameters are fixed quantities that need to be found. In the Bayesian framework, parameters are random variables themselves that can be learned. Furthermore, Bayesian statistics allows us to incorporate prior knowledge about a distribution that we want to learn, and update it accordingly.
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.