When I read that review it wasn't obvious to me how he got the result that
he did for the counterfeit coin example. So I worked it out for
myself--and after a bit of thinking about it got the same answer. If you're
interested it's
here<http://cs.calstatela.edu/wiki/index.php/Bayes%27_theorem#Counterfeit_coin_example>.
(Let me know if you think I made any mistakes.) The calculation is at the
bottom of the Bayes Theorem page on my wiki.

*-- Russ Abbott*
*_____________________________________________*
***  Professor, Computer Science*
*  California State University, Los Angeles*

*  Google voice: 747-*999-5105
*  blog: *http://russabbott.blogspot.com/
  vita:  http://sites.google.com/site/russabbott/
*_____________________________________________*



On Sun, Aug 7, 2011 at 2:41 PM, Tom Johnson <[email protected]> wrote:

>  A review of a new book that may be of interest.
> --tom johnson
>
> The Mathematics of Changing Your Mind By JOHN ALLEN PAULOS Published:
> August 5, 2011
>
> Sharon Bertsch McGrayne introduces Bayes’s theorem in her new book with a
> remark by John Maynard Keynes: “When the facts change, I change my opinion.
> What do you do, sir?”
>
> Bayes’s theorem, named after the 18th-century Presbyterian minister Thomas
> Bayes, addresses this selfsame essential task: How should we modify our
> beliefs in the light of additional information? Do we cling to old
> assumptions long after they’ve become untenable, or abandon them too readily
> at the first whisper of doubt? Bayesian reasoning promises to bring our
> views gradually into line with reality and so has become an invaluable tool
> for scientists of all sorts and, indeed, for anyone who wants, putting it
> grandiloquently, to sync up with the universe. If you are not thinking like
> a Bayesian, perhaps you should be.
>
>
> http://www.nytimes.com/2011/08/07/books/review/the-theory-that-would-not-die-by-sharon-bertsch-mcgrayne-book-review.html?_r=1&ref=books
>
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