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SUMMARY:On the Analysis of Ellipsoid Approximation of Nested Sampling - Ra
 tthachat Chatpatanasiri
DTSTART:20060712T130000Z
DTEND:20060712T140000Z
UID:TALK5133@talks.cam.ac.uk
CONTACT:Ryan Prescott Adams
DESCRIPTION:In 2004\, Skilling proposed an efficient monte carlo method\, 
 called nested sampling\, to numerically calculate the evidence in model co
 mparison tasks. One important technical problem is that\, in each iteratio
 n\, we have to perform a uniform sampling under a hard constrain. \n\nIn 2
 006\, Mukherjee\, Liddle and Parkinson proposed the method called an "elli
 psoid approximation" to solve this technical problem. However\, a new prob
 lem\,  arising from the ellipsoid method itself\, is to select its paramet
 er called the "expansion factor". \n\nThis talk shall breifly give some th
 eoretical and experimental results based on random matrix theory about how
  to select the appropriate parameter. This is an in-progress work.
LOCATION:Ryle Seminar Room\, Cavendish Laboratory
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