Thank you, George,
I will look into it. Nick 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 George Duncan Sent: Saturday, February 02, 2019 11:33 AM To: The Friday Morning Applied Complexity Coffee Group <Friam@redfish.com> Subject: [FRIAM] Learning about Bayesian Statistics 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.
============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com archives back to 2003: http://friam.471366.n2.nabble.com/ FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove
