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SUMMARY:Besov Priors for Bayesian Inverse problems - Dashti\, M (Universit
 y of Warwick)
DTSTART:20111213T170000Z
DTEND:20111213T173000Z
UID:TALK34938@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:We consider the inverse problem of estimating a function $u$ f
 rom noisy measurements of a known\, possibly nonlinear\, function of $u$. 
 We use a Bayesian approach to find a well-posed probabilistic formulation 
 of the solution to the above inverse problem. Motivated by the sparsity pr
 omoting features of the wavelet bases for many classes of functions appear
 ing in applications\, we study the use of the Besov priors within the Baye
 sian formalism. This is Joint work with Stephen Harris (Edinburgh) and And
 rew Stuart (Warwick).\n
LOCATION:Seminar Room 1\, Newton Institute
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