[FRIAM] Learning about Bayesian Statistics

Mon Feb 4 15:48:42 EST 2019

Thanks, everybody, for these suggestions.  

I should be able to manage extracting data from primates, since that is what my phd was in. 

N

Nicholas S. Thompson

Emeritus Professor of Psychology and Biology

Clark University

 <http://home.earthlink.net/~nickthompson/naturaldesigns/> http://home.earthlink.net/~nickthompson/naturaldesigns/

From: Friam [mailto:friam-bounces at redfish.com] On Behalf Of Roger Critchlow
Sent: Monday, February 04, 2019 8:24 AM
To: The Friday Morning Applied Complexity Coffee Group <friam at redfish.com>
Subject: Re: [FRIAM] Learning about Bayesian Statistics

You could also look at Richard McElreath's Statistical Rethinking: A Bayesian Course with Examples in R and Stan, a book, software package, and youtube lectures.  McElreath is an anthropologist who studies the development of social learning in primates, so naturally he teaches a statistics course for natural and social scientists focused on getting data to answer scientific questions.  The first two lectures explain why Bayes and why an anthropologist is teaching statistics.

https://www.youtube.com/watch?v=4WVelCswXo4 <https://www.youtube.com/watch?v=4WVelCswXo4&list=PLDcUM9US4XdNM4Edgs7weiyIguLSToZRI> &list=PLDcUM9US4XdNM4Edgs7weiyIguLSToZRI

-- rec --

On Mon, Feb 4, 2019 at 8:28 AM Edward Angel <angel at cs.unm.edu <mailto:angel at cs.unm.edu> > wrote:

You might also like Nate Silver’s book “The Signal and the Noise”. It’s almost non technical and has interesting examples of the use and non use of Bayesian reasoning from the house market collapse to evaluating baseball players. 

Ed

____________ 

Ed Angel

Founding Director, Art, Research, Technology and Science Laboratory (ARTS Lab)
Professor Emeritus of Computer Science, University of New Mexico

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On Feb 3, 2019, at 12:03 AM, George Duncan <gtduncan at gmail.com <mailto:gtduncan at gmail.com> > wrote:

At Friday's church service Nick asked about how one might learn the basics of Bayesian statistics. I said I would think about it, and so here are my conclusions.

For historical and philosophical background: Read The Emergence of Probability by Ian Hacking

For a systematic course: Take Coursera, Bayesian Statistics, a course from Duke University with a 7-day free trial. 

Also of course there are several reasonable texts on Bayesian Statistics.

George Duncan

Emeritus Professor of Statistics, Carnegie Mellon University
georgeduncanart.com <http://georgeduncanart.com/> 

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