Comments on: Bayes-250, Edinburgh [day 2]
https://xianblog.wordpress.com/2011/09/07/bayes-250-edinburgh-day-2/
an attempt at bloggin, nothing more...Wed, 15 Feb 2012 23:14:05 +0000
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By: another Le Monde column « Xi'an's Og
https://xianblog.wordpress.com/2011/09/07/bayes-250-edinburgh-day-2/comment-page-1/#comment-14051
Wed, 15 Feb 2012 23:14:05 +0000http://xianblog.wordpress.com/?p=12153#comment-14051[…] in a Bayesian fashion, actualising predictions based on current observations (as exposed at Bayes 250), but also that the updating is not “objective”! While this may sound as if the […]
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By: David Hume as pre-Bayesian « Xi'an's Og
https://xianblog.wordpress.com/2011/09/07/bayes-250-edinburgh-day-2/comment-page-1/#comment-13189
Wed, 11 Jan 2012 16:39:25 +0000http://xianblog.wordpress.com/?p=12153#comment-13189[…] question as to whether (and then how) Hume and Bayes could have interacted. (When Bayes studied in Edinburgh in the 1720′s, Hume was less than 12…) […]
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By: the theory that would not die… « Xi'an's Og
https://xianblog.wordpress.com/2011/09/07/bayes-250-edinburgh-day-2/comment-page-1/#comment-10225
Fri, 16 Sep 2011 06:10:36 +0000http://xianblog.wordpress.com/?p=12153#comment-10225[…] book inevitably starts with the (patchy) story of Thomas Bayes’s life, incl. his passage in Edinburgh, and a nice non-mathematical description of his ball experiment, the next chapter is about […]
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By: Another coincidence… « Xi'an's Og
https://xianblog.wordpress.com/2011/09/07/bayes-250-edinburgh-day-2/comment-page-1/#comment-10134
Thu, 08 Sep 2011 22:15:45 +0000http://xianblog.wordpress.com/?p=12153#comment-10134[…] the coincidence of bumping into Marc Suchard in an Edinburgian Indian restaurant on Tuesday night, I faced another if much less pleasant coincidental event: for the third time in a […]
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By: xi'an
https://xianblog.wordpress.com/2011/09/07/bayes-250-edinburgh-day-2/comment-page-1/#comment-10112
Wed, 07 Sep 2011 05:04:12 +0000http://xianblog.wordpress.com/?p=12153#comment-10112The criticism was rather about Michael’s radical dismissal of the posterior probability (resulting from Bayes’ theorem) as a conditional probability because of the dependence on the model. And of the potential meaningless of P(B|A) when A proved to be wrong prior to B occurring. While I cannot say I completely followed Michael’s arguments, they do sound too radical: For one thing I did not see how an expectation could save the day when, mathematically, there is an equivalence between the definition of a measure and the corresponding definition of expectations for measurable functions. For another, the fact that some entities are model dependent is a non sequitur issue: in model choice settings, the encompassing measure takes care of this. Bayes linear is a different thing: it can be seen as a robust Bayes of sorts, requiring a smaller input at the prior modelling level.
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By: David Rohde
https://xianblog.wordpress.com/2011/09/07/bayes-250-edinburgh-day-2/comment-page-1/#comment-10111
Wed, 07 Sep 2011 01:43:35 +0000http://xianblog.wordpress.com/?p=12153#comment-10111I would be really interested if you would like to expand on your comments or criticism about Bayes Linear… I have been looking for a commentary on this from a more traditional Bayesian perspective for some time…
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