Workshop:

 

Inverse problems: theory and statistical inference

Organised by:

 

Anne Vanhems (Toulouse), Jan JOHANNES (Heidelberg), Enno Mammen (Heidelberg), Pierre Maréchal (Toulouse) and Alexandre Tsybakov (Paris)

Contents:

• Variational methods for inverse problems;
• Inverse problems in econometrics;
• Posterior concentration in Bayes inverse problems;
• Mathematical statistics and inverse problems

Speakers:

• Christoph Breunig (Humboldt-Universität zu Berlin) (.pdf)
  Title: Varying random coefficient models
• Cristina Butucea (Université Paris-Est Marne-la-Vallée) (.pdf)
  Title: Adaptive minimax tests for large covariance matrices with incomplete data
• Marine Carrasco (Université de Montreal) (.pdf)
  Title: Functional linear regression with functional response
• Fabienne Comte (Université Paris Descartes) (.pdf)
  Title: Laguerre deconvolution when the nuisance process has unknown distribution
• Thorsten Hohage (Georg-August-Universität Göttingen) (.pdf)
  Title: Verification of variational source conditions
• Joel Horowitz (Northwestern University) (.pdf)
  Title: Nonparametric estimation and inference under shape restrictions
• Yuri Golubev (Aix-Marseille Université) (.pdf)
  Title: Minimax approach to errors-in-variables linear models
• Christine de Mol (Université Libre de Bruxellles) (.pdf)
  Title: Forecasting economic variables with high-dimensional time series
• Bartek Knapik (Vrije Universiteit Amsterdam) (.pdf)
  Title: Posterior contraction in nonparametric inverse problems
• Elena Resmerita (Alpen-Adria-Universität Klagenfurt) (.pdf)
  Title: Approaching linear ill-posed problems by an entropic projection method
• Otmar Scherzer (Universität Wien) (.pdf)
  Title: Regularization theory for convex and some non-convex regularizers
• Thomas Schuster (Universität des Saarlandes) (.pdf)
  Title: Solving nonlinear inverse problems by sequential subspace optimization with an application to terahertz tomograph
• Anna Simoni (CNRS and CREST) (.pdf)
  Title: Adaptive Bayesian estimation in indirect Gaussian sequence space models
• Aad van der Vaart (Leiden University) (.pdf)
  Title: Uncertainty quantification by posterior distributions

Posters:

• Nicolas Asin (Université catholique de Louvain) (.pdf)
  Title: Non-parametric instrumental regression: Adaptive estimation in presence of dependence
• Martin Kroll (Universität Mannheim) (.pdf)
  Title: Nonparametric estimation of the intensity function from indirect point process observations
• Xavier Loizeau (Ruprecht-Karls-Universität Heidelberg) (.pdf)
  Title: A Bayesian interpretation of data-driven estimation by model selection

Date and location:

 

Friday, October 28 and Saturday, October 29, 2016 at IWH (International Academic Forum), Hauptstraße 242 in Heidelberg

Kindly supported by:

 

The workshop was kindly supported by the MAThematics Center Heidelberg (MATCH) and by the Research Training Group (RTG) 1953 “Statistical Modeling of Complex Systems and Processes“, Heidelberg/Mannheim.