• S. Hundrieser, M. Klatt, and A. Munk. The Statistics of Circular Optimal Transport. In: SenGupta, A. and Arnold, B. C. (eds), Directional Statistics for Innovative Applications. A Bicentennial Tribute to Florence Nightingale. Springer, Singapore (2022), 57-82.

• R. Richter, D. H. Thai, C. Gottschlich, and S. Huckemann. Filter Design for Image Decomposition and Applications to Forensics. In: Chen K., Schönlieb C. B., Tai X. C., Younces L. (eds), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging. Springer, Cham (2021), 1-28.

Dissertations

• M. Behr. Finite Alphabet Blind Separation. Dissertation, University of Göttingen, 2017.

• S. Behrends. Geometric and algebraic approaches to mixed-integer polynomial optimization using sos programming. Dissertation, University of Göttingen, 2017.

• R. Beinert. Ambiguities in one-dimensional phase retrieval from Fourier magnitudes. Dissertation, University of Göttingen, 2015.

• A. Berdellima. Investigations in Hadamard spaces. Dissertation, University of Göttingen, 2020.

• S. Bittens. Sparse Fast Trigonometric Transforms. Dissertation, University of Göttingen, 2019.

• M. Botte. Facility Location in the Phylogenetic Tree Space. Dissertation, University of Göttingen, 2019.

• R. Budinich. Adaptive Multiscale Methods for Sparse Image Representation and Dictionary Learning. Dissertation, University of Göttingen, 2018.

• M. del Alamo. Multiscale Total Variation Estimators for Regression and Inverse Problems. Dissertation, University of Göttingen, 2019.

• J. Eckhardt. Bending energy regularization on shape spaces: a class of iterative methods on manifolds and applications to inverse obstacle problems. Dissertation, University of Göttingen, 2019.

• J. Geppert. Adaptive Sparsification Mechanisms in Signal Recovery. Dissertation, University of Göttingen, 2021.

• F. Heinemann. Statistical and Structural Aspects of Unbalanced Optimal Transport Barycenters. Dissertation, University of Göttingen, 2022.

• N. Hermer. Random Function Iterations for Stochastic Feasibility Problems. Dissertation, University of Göttingen, 2019.

• D. James. On two Random Models in Data Analysis. Dissertation, University of Göttingen, 2017.

• I. Keller. Modifications of Prony's Method for the Reconstruction of Structured Functions. Dissertation, University of Göttingen, 2021.

• M. Klatt. Limit Laws for Empirical Optimal Transport. Dissertation, University of Göttingen, 2022.

• H. Knirsch. Optimal Hankel Structured Rank-1 Approximation. Dissertation, University of Göttingen, 2022.

• G. Kulaitis. A Statistical Model of Microscope Resolution. Dissertation, University of Göttingen, 2020.

• H. Li. Variational Estimators in Statistical Multiscale Analysis. Dissertation, University of Göttingen, 2016.

• J. Lueg. Phylogenetic Forest Spaces. Dissertation, University of Göttingen, 2022.

• A.-L. Martins. Local and Global Analysis of Relaxed Douglas-Rachford for Nonconvex Feasibility Problems. Dissertation, University of Göttingen, 2019.

• P. Miller. Variational regularization theory for sparsity promoting wavelet regularization. Dissertation, University of Göttingen, 2021.

• R. Müller. Barycenters and ANOVA for Point Pattern Data. Dissertation, University of Göttingen, 2022.

• V. Natarovskii. Geometric convergence of slice sampling. Dissertation, University of Göttingen, 2021.

• M. Petz. Reconstruction of Exponential Sums from Fourier Data via Rational Approximation. Dissertation, University of Göttingen, 2022.

• M. Pohlmann. On minimax detection of localized signals from indirect or correlated data. Dissertation, University of Göttingen, 2022.

• V. Pototskaia. Application of AAK theory for sparse approximation. Dissertation, University of Göttingen, 2017.

• R. Richter. Cartoon-Residual Image Decompositions with Application in Fingerprint Recognition. Dissertation, University of Göttingen, 2019.

• L. F. Schneider. Discrete Parameter Estimation for Rare Events: From Binomial to Extreme Value Distributions. Dissertation, University of Göttingen, 2019.

• J. Schrieber. Algorithms for Optimal Transport and Wasserstein Distances. Dissertation, University of Göttingen, 2019.

• Y. Simayi. Convergence rates for variational regularization of inverse problems in exponential families. Dissertation, University of Göttingen, 2019.

• M. Sommerfeld. Wasserstein Distance on Finite Spaces: Statistical Inference and Algorithms. Dissertation, University of Göttingen, 2017.

• B. Sprung. Convergence rates for variational regularization of statistical inverse problems. Dissertation, University of Göttingen, 2019.

• K. Stampfer. The Generalized Operator Based Prony Method. Dissertation, University of Göttingen, 2019.

• T. Staudt. Contributions to the Theory of Statistical Optimal Transport. Dissertation, University of Göttingen, 2022.

• N. H. Thao. Algorithms for Structured Nonconvex Optimization: Theory and Practice. Dissertation, University of Göttingen, 2017.

• F. Telschow. Equivariant Functional Shape Analysis in SO(3) with Applications to Gait Analysis. Dissertation, University of Göttingen, 2016.

• C. Tameling. Empirical Optimal Transport on Discrete Spaces: Limit Theorems, Distributional Bounds and Applications. Dissertation, University of Göttingen, 2016.

• K. Wannenwetsch. Deterministic Sparse FFT Algorithms. Dissertation, University of Göttingen, 2016.

• C. Weitkamp. Gromov-Wasserstein Distances and their Lower Bounds. Dissertation, University of Göttingen, 2022.

• M. Wemheuer. A Central Limit Theorem for Functions on Weighted Sparse Inhomogeneous Random Graphs. Dissertation, University of Göttingen, 2023.

• J. Wieditz. Characteristic and necessary minutiae in fingerprints. Dissertation, University of Göttingen, 2021.