Statistical Multiscale Analysis: From Signal Detection to Nanoscale Photonic Imaging
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If you have a question about this talk, please contact Richard Samworth.
In this talk we will discuss a general concept of statistical
multiscale analysis in the context of signal detection and imaging.
This provides a large class of fully data driven regularisation methods. We
address computational issues as well as the required extreme value theory of
the multiscale statistics.
A major example will be locally adaptive total variation regularization
for deconvolution problems.
Our method is applied to problems from nanoscale biophotonic cell
microscopy.
This talk is part of the Statistics series.
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