Hi Jim,
what's made Bayesian much more accessible in the last few years is the Markov
Chain Monte Carlo simulation approach to allow evaluation of quite complex
models, and the development of software to do so, namely BUGS. See
http://www.mrc-bsu.cam.ac.uk/bugs/welcome.shtml. Doing Bayesian in JMP would
require a lot of programming I think.
Cheers
Gunter
-----Original Message-----
From: jmp-l-owner@lists.biostat.wustl.edu
[mailto:jmp-l-owner@lists.biostat.wustl.edu]On Behalf Of James T Metz
Sent: Friday, 15 July 2005 1:13 AM
To: jmp-l@lists.biostat.wustl.edu
Cc: James T Metz
Subject: [jmp-l] JMP and Bayesian statistics
JMP Users,
I am interested in learning more about the theory and application of
Bayesian statistical methods and
possibly utilizing this approach in JMP (if possible).
I am not formally trained as a statistician ! I also know this is a
"big" area of current research. Hence, sorry
if my question is too broad and vague.
However, I would be most grateful if more learned individuals would
please recommend websites, books,
lectures, PPT presentations, PDF files, etc that may be useful for learning
more about Bayesian methods. I need
a sort of "Bayesian Statistics for Dummies" presentation(s).
Importantly, if you know of lectures, demonstrations, presentations,
etc. of using Bayesian methods within
JMP for constructing and analyzing models, please let me know. I know that
there is some Bayes stuff in JMP (Bayes
plot within standard least squares), but it does not seem to be useful or
powerful enough for data mining and model building
(or at least I do not know how to use it properly).
If someone has written some JSL scripts that do Bayes model
construction and analyses, and is willing to share,
that would be great!
I welcome your advice, comments, suggestions, etc.
Regards,
Jim Metz
James T. Metz, Ph.D.
Research Investigator Chemist
GPRD R46Y AP10-2
Abbott Laboratories
100 Abbott Park Road
Abbott Park, IL 60064-6100
U.S.A.
Office (847) 936 - 0441
FAX (847) 935 - 0548
james.metz@abbott.com
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