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The Bayesian Approach to Inverse Problems: Theoretical Aspects

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If you have a question about this talk, please contact Carola-Bibiane Schoenlieb.

In the first talk, I want to discuss the basic principles of Bayesian inference applied to inverse problems. First, I will outline the concepts behind this methodology, point to connections to variational regularization and ridge regression and highlight some possible benefits of Bayesian inference over other approaches. After that, I will focus on the process of Bayesian modeling, In addition, I will address some common objections against the explicit use of Bayesian techniques in practice and discuss some recent results and trends in this area.

Slides of this talk can be downloaded at http://wwwmath.uni-muenster.de/num/burger/organization/lucka/talks/Cambridge1_13_11_2012.pdf

This talk is part of the Bayesian approach in inverse problems series.

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