CCL: New Paper: Making Priors a Priority

 Sent to CCL by: Vincent Leroux [vincent.leroux=loria.fr]
 Dear Matt Segall,
 You forgot to mention that you actually wrote this paper.
 Just imagine how this mailing list would look like if every scientist
 out there would advertise his/her last paper.
 Plus you dare call an "on-line community" part of the website of the
 commercial company you work for. By looking at the forum seems like
 "community" might be a little bit to big a word to describe it, but it
 is for sure a more adequate place for your post  ;-)
 If it was a Science or Nature paper about computational chemistry, I
 would be happy to get the opportunity to discuss with the authors here,
 but well, even if your paper might be interesting we are still far from
 there...
 "How useful will a model be in making a decision in a practical
 context?". I want to know too! Two nice corporate keywords "making a
 decision" and "practical context" for the price of one: well
 done!
 Congratulations for "Making Priors a Priority". Awesome title!
 "To answer this requires an understanding of the prior probability
 distribution (the prior) and hence prevalence of negative outcomes due
 to the property being assessed.": sure this is right! May I add: "It
 also requires an understanding of the present probability distribution
 (the present) and hence actual significance of the property being
 assessed, and an understanding of the future probability (the prospect)
 that things will still make some kind of sense, provided that prior of
 present did". Oh wait, I did not read the paper yet, maybe it is in the
 conclusion already, just before the usual "These interesting questions
 will be investigated in future works" that could be called "Making
 Presents Presentable" and "Prospecting Prospects".
 Regards,
 VL
 Le 29/10/10 10:21, Matt Segall matt.segall{}optibrium.com a écrit :
 > Sent to CCL by: "Matt  Segall" [matt.segall---optibrium.com]
 > A new paper, "Making Priors a Priority" addresses a key challenge
 the community
 > needs to address to get the most out of the predictive models we build.
 Just
 > published on-line in J. Comp. Aided Mol. Design (DOI
 10.1007/s10822-010-9388-
 > 7), the paper discusses the question, "How useful will a model be in
 making a
 > decision in a practical context?" To answer this requires an
 understanding of
 > the prior probability distribution (the prior) and hence prevalence of
 > negative outcomes due to the property being assessed.
 >
 > The full paper can be downloaded from the Springer website at
 > http://www.springerlink.com/content/x15h763770611316/ or a
 free preprint is
 > available from the Optibrium on-line community at
 > http://www.optibrium.com/community/publications/110-making-priors-a-priority.>;
 >
 >