November 2022
Beginner to intermediate
192 pages
5h 49m
English
Content preview from Bayesian Analysis with Excel and R
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Preface
This book has several aspects that I want to let you know about up front. If you’re already comfortable with terminology and concepts such as Hamiltonian Monte Carlo sampling, conjugate pairs, and posterior distributions, then this book is probably not for you. You already know a lot about those topics, and if you need more you know where to find it.
On the other hand, if you don’t feel quite at home with the purpose of random samples, R’s user interface, and why you might want to work with mean-corrected instead of with raw values, then it’s just possible that this book offers something that you might want to know about. Both this book and I assume that you have some background in statistical analysis—say, at the introductory college ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.