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Vladimir_Nesov comments on Bayesian Utility: Representing Preference by Probability Measures - Less Wrong

10 Post author: Vladimir_Nesov 27 July 2009 02:28PM

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Comment author: Vladimir_Nesov 27 July 2009 03:14:49PM 0 points [-]

Mixing: coefficients can be negative or more than 1, but values of p and q must remain positive (added to the post). This is also a way to drive polar angle of the expected utility of the best point of the sample space to pi/2 (look at the bounding parallelogram in (P,Q)).

You can't move the points around independently, since their coordinates are measures, sums of distributions over specific events, so if you move one event, some of the other events move as well. I'll add an example to the article in a moment.