Isn’t that what Friday mornings are about?
--Barry (Bonzo)
On 4 Feb 2019, at 15:48, Nick Thompson wrote:
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-boun...@redfish.com] On Behalf Of Roger
Critchlow
Sent: Monday, February 04, 2019 8:24 AM
To: The Friday Morning Applied Complexity Coffee Group
<friam@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 <an...@cs.unm.edu
<mailto:an...@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
1017 Sierra Pinon
Santa Fe, NM 87501
505-984-0136 (home) an...@cs.unm.edu <mailto:an...@cs.unm.edu>
505-453-4944 (cell) http://www.cs.unm.edu/~angel
On Feb 3, 2019, at 12:03 AM, George Duncan <gtdun...@gmail.com
<mailto:gtdun...@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/>
See posts on Facebook, Twitter, and Instagram
Land: (505) 983-6895
Mobile: (505) 469-4671
My art theme: Dynamic exposition of the tension between matrix order
and luminous chaos.
"Attempt what is not certain. Certainty may or may not come later. It
may then be a valuable delusion."
From "Notes to myself on beginning a painting" by Richard Diebenkorn.
"It's that knife-edge of uncertainty where we come alive to our truest
power." Joanna Macy.
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Meets Fridays 9a-11:30 at cafe at St. John's College
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