- Series
- Stochastics Seminar
- Time
- Tuesday, April 3, 2012 - 4:05pm for 1 hour (actually 50 minutes)
- Location
- Skyles 006
- Speaker
- Axel Munk – Institut für Mathematische Stochastik Georg-August-Universität Göttingen
- Organizer
- Karim Lounici
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
which can be viewed as a multiscale generalization of the Dantzig selector.
We address computational issues as well as the required extreme value theory
of the multiscale statistics. Two major example include change point
regression and locally adaptive total variation image regularization
for deconvolution problems.
Our method is applied to problems from ion channel recordings and nanoscale
biophotonic cell
microscopy.