[FRIAM] Learning about Bayesian Statistics

[Edward Angel]

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)		 	angel at cs.unm.edu <mailto:angel at cs.unm.edu>
505-453-4944 (cell) 				http://www.cs.unm.edu/~angel <http://www.cs.unm.edu/~angel>
							 	



> On Feb 3, 2019, at 12:03 AM, George Duncan <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/>
> 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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