SLIDES
Mathematical Statistics and Inverse Problems
February 8 – 12, 2016
- Buzun Nazar (WIAS Berlin)
Multiplier bootstrap for change point detection (pdf)
- Enikeeva Farida (Université de Poitiers)
Bump detection in a heterogeneous Gaussian regression (pdf)
- Ermakov Mikhail (IPME RASc St.Petersburg)
On consistent hypothesis testing (pdf)
- Florens Jean-Pierre (Université Toulouse 1)
Inverse problems in econometrics: examples and specific theoretical problems (pdf)
- Jean-Marc Freymuth (University of Cambridge)
Minimax optimal detection of structure for multivariate data (pdf)
- Goldenshluger Alexandre (Tel Aviv University)
The M/G/infinit estimation problem revisited (pdf)
- Hengartner Nicolas (Los Alamos National Laboratory)
Denoising nonlinear dynamical systems (pdf)
- Huckemann Stephan (University of Göttingen)
Drift estimation in sparse sequential dynamic imaging (pdf)
- Jan Johannes (CREST-Ensai and Universite catholique de Louvain)
Adaptive Bayesian estimation in indirect Gaussian sequence space models (pdf)
- Kerkyacharian Gérard (Université Paris 10)
Geometry and inverse problems. Example tomography and astrophysics (Part 1) (Part 2)
- Lepski Oleg (Aix-Marseille Université)
Adaptive Estimation in the Convolution Structure Density Model (pdf)
- Marteau Clément (INSA Toulouse, France)
Minimax goodness-of- t testing in ill-posed inverse problems with partially unknown operators (pdf)
- Mathé Peter (Weierstrass Institute, Germany)
Discrepancy based model selection in statistical inverse problems (pdf)
- Matzner-Loeber Eric (Université Rennes 2)
Nonparametric admissible estimator (pdf)
- Munk Axel (Göttingen University, Germany)
Statistical Blind Source Separation (pdf)
Laplace deconvolution and its application to the analysis of dynamic contrast enhanced imaging data (pdf)
- Pereversev Sergei (Johann Radon Institute, Austrian Academy of Sciences)
Aggregation of regularized rankers by means of a linear functional strategy (pdf)
- Tsybakov Alexandre (CREST-ENSAE, Ecole polytechnique)
Sharp minimax and adaptive variable selection (pdf)