A | Classification problems in structural data analysis A1: Inference based on Wasserstein metrics and optimal transport A2: Wasserstein metrics and their applications A3: Exponential analysis from a statistical viewpoint A4: Discrete topological optimization techniques for the statistical analysis of tree structures A5: Data analysis with Wasserstein barycenters A6: Dictionary learning and efficient data representation in structured dictionaries A7: Analyzing minutiae distributions for fingerprint recognition B | Reconstruction problems B1: Sparsity promoting likelihood penalization for inverse problems B2: Inverse problems in exponential families: multiresolution data fidelities B3: Elastic energy regularization for inverse obstacle problems B4: Bayesian nonparametric adaptive estimation of Toeplitz covariance matrices B5: Probabilistic analysis and algorithms in stochastic fixed point theory B6: Sparse adaptive multiscale representations of signals and images based on advanced exponential analysis methods
