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Bayesian reconstruction of piecewise constant signals

  • Iryna Sivak (University of Warwick)
A3 01 (Sophus-Lie room)

Abstract

A key challenge in the theory of inverse problems is the derivation of classical methods of regularization from Bayesian formulations. We consider this issue in the context of recovering binary one dimensional functions; think, for example, of the problem of barcode reconstruction from the blurred and noisy signal which comes from the scanner.

This is joint work with Andrew Stuart (University of Warwick) and Viet Ha Hoang (NTU Singapore).

The main ideas of Inverse Problems, Bayesian Method and other concepts would be explained along with the current state of research.

Katja Heid

MPI for Mathematics in the Sciences Contact via Mail

Upcoming Events of This Seminar

  • Mar 11, 2024 tba with Carlos Román Parra
  • Mar 15, 2024 tba with Esther Bou Dagher