Campuses:

Approximation errors

Thursday, September 7, 2017 - 1:15pm - 1:50pm
Ville Kolehmainen (University of Eastern Finland)
The approximation error approach was proposed in [J. Kaipio \& E. Somersalo, Statistical and Computational Inverse Problems, Springer, 2004] for handling modelling errors due to model reduction and unknown nuisance parameters in inverse problems. In this talk, we discuss the application of the approximation error approach for approximate marginalization of modelling errors caused by inaccurately known sensor parameters in diffuse optical tomography.
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