Christof Schötz (2021) The Fréchet mean and statistics in non-euclidean spaces.Read more… Supervisors and examiners: Jan JOHANNES, Enno Mammen (Heidelberg University), second examiner: Hans Georg Müller (University of California, Davis)
Sandra Schluttenhofer (2020) Adaptive minimax testing for inverse problems.Read more… Supervisor and examiner: Jan JOHANNES, second examiners: Enno Mammen (Heidelberg University) and Clément Marteau (Université Lyon I)
Xavier Loizeau (2019) Hierarchical Bayes and frequentist aggregation in inverse problems.Read more… Supervisor and examiner: Jan JOHANNES, second examiner: Enno Mammen (Heidelberg University)
Nicolas Asin (2017) Adaptive estimation of inverse problems in presence of dependence.Read more… Supervisor: Jan JOHANNES co-supervisor: Ingrid van Keilgom (KU Leuven)
Master thesis
Janine Steck (2023) Fourier-type density estimation in a tomography problem.Read more… Supervisor: Sergio Brenner Miguel and Jan JOHANNES
Henning Stein (2023) Local asymptotic equivalence of pure states ensembles and quantum Gaussian white noise.Read more… Supervisor: Jan JOHANNES
Maximilian Siebel (2022) Statistical inverse problems: PDE constrained regression models.Read more… Supervisor: Jan JOHANNES
Daniel Fridljand (2022) Better multiple Testing: Using multivariate co-data for hypothesis weighting.Read more… Supervisor: Wolfgang Huber and Jan JOHANNES
Bérénice ROBERT (2021) Adaptive non-parametric estimation in a multiplicative censoring model with symmetric noise.Read more… Supervisors: Sergio Brenner Miguel and Jan JOHANNES
Dennis Reichard (2021) Non-parametric Density Estimation under Local α-differential Privacy Constraints using Wavelet Techniques.Read more… Supervisor: Jan JOHANNES
Moritz Holzmann (2020) Minimax optimal goodness-of-fit testing for densities under a local differential privacy constraint.Read more… Supervisors: Sandra Schluttenhofer and Jan JOHANNES
Fayez Murad (2020) Adaptive goodness-of-fit tests in a density model.Read more… Supervisor: Jan JOHANNES
Konstantin Klumpp (2019) Minimax estimation in multilayer stochastic block models.Read more… Supervisor: Jan JOHANNES
Daniel Rasskasow (2019) A mollifying approach to the deconvolution problem.Read more… Supervisor: Jan JOHANNES
Roman Nagurski (2019) A bias corrected estimator for distance correlation.Read more… Supervisors: Jan JOHANNES and Dominic Edelmann
Sergio Filipe Brenner Miguel (2018) Data-driven Laguerre estimation under multiplicative censoring.Read more… Supervisor: Jan JOHANNES
Nathawut Phandoidaen (2018) Minimax estimation of Wasserstein barycenters.Read more… Supervisors: Christof Schötz and Jan JOHANNES
Agnes Gambietz (2018) Regression models for bounded responses with application to DNA methylation.Read more… Supervisors: Jan JOHANNES and Dominic Edelmann
Rouven Behnisch (2017) Nonparametric instrumental variables estimation of a quantile regression model.Read more… Supervisor: Jan JOHANNES
Stefan Stein (2017) Asymptotic equivlance of density estimation and Gaussian white noise.Read more… Supervisor: Jan JOHANNES
Florian Schimmel (2017) Nonparametric Priors in Bayesian Statistics and their clustering.Read more… Supervisors: Moritz von Rohrscheidt and Jan JOHANNES
Samuel Kilian (2017) Minimax-Risiko bei der Schätzung von Untermannigfaltigkeiten unter Hausdorffabstand.Read more… Supervisor: Jan JOHANNES
Stephan Bischofberger (2016) Posterior contraction for Gaussian inverse problems in Hilbert scales.Read more… Supervisor: Jan JOHANNES
Bachelor thesis
Lars Kutschinski (2023) Testen von Hypothesen im funktionalen linearen Modell.Read more… Supervisor: Jan JOHANNES
Lukas Stefani (2023) Der Kolmogorov-Smirnov-Test als Anwendung von symmetrischen Irrfahrten.Read more… Supervisor: Jan JOHANNES
Fabia Martens (2023) Modellauswahl und Bernstein Ungleichungen für Suprema von Zufallsprozessen.Read more… Supervisor: Jan JOHANNES
Andreas Hillebrand (2023) Nonparametric density estimation for grouped data.Read more… Supervisor: Sergio Brenner Miguel and Jan JOHANNES
Michael Schwind (2023) Curve registration via penalized log-likelihood ratio testing.Read more… Supervisor: Jan JOHANNES
Nils Tausch (2022) Die Mellintransformation für multiplikative Faltungen von Wahrscheinlicheitsmaßen.Read more… Supervisor: Sergio Brenner Miguel and Jan JOHANNES
Emma Dingel (2022) Density estimation for functional data under differential privacy.Read more… Supervisor: Jan JOHANNES
Felix Maximilian Schürzinger (2022) A statistical framework for differential privacy.Read more… Supervisor: Jan JOHANNES
Sarah HOFFMANN (2022) Data-driven density estimation.Read more… Supervisor: Jan JOHANNES
Melissa Weber (2022) Lineare Einfachregression insbesondere in höherdimensionalen Modellen.Read more… Supervisors: Sergio Brenner Miguel and Jan JOHANNES
Leonard Späth (2021) Nichtparametrische Dichteschätzung im Additive-Noise-Modell.Read more… Supervisors: Sergio Brenner Miguel and Jan JOHANNES
Marlena WEIDENAUER (2021) Uniform convergence of model-assisted mean estimators for sampled functional data.Read more… Supervisor: Jan JOHANNES
Leila Thiel (2021) Die Transportmetrik und Pfadkopplung.Read more… Supervisors: Sergio Brenner Miguel and Jan JOHANNES
Matthias Hericks (2021) Nonparametric regression using ReLU networks.Read more… Supervisors: Sandra Schluttenhofer and Jan JOHANNES
Henning Stein (2021) Likelihood-Quotienten Tests in Hidden Markov Modellen.Read more… Supervisors: Jan JOHANNES and Christian Rüschoff
Clemens Hecht (2021) Optimal adaptive and minimax estimation on R of the derivatives of a density.Read more… Supervisors: Sergio Brenner Miguel and Jan JOHANNES
Daniel Fridljand (2020) Online-Schätzung des geometrischen Medians in Hilberträumen.Read more… Supervisor: Jan JOHANNES
Maximilian Siebel (2020) A Bernstein-von Mises Theorem for smooth functionals in semi-parametric models.Read more… Supervisor: Jan JOHANNES
Jakob Schulz (2020) Optimal convergence of classifiers in statistical learning.Read more… Supervisor: Jan JOHANNES
Merlin Dietrich (2020) Deconvolution with an unknown kernel in a Bayesian perspective.Read more… Supervisor: Jan JOHANNES
Miriam Maurer (2019) Adaptive Laguerre density estimation for mixed Poisson models.Read more… Supervisors: Sergio Brenner Miguel and Jan JOHANNES
Robin Viellieber (2020) Optimal rates of aggregation in classification.Read more… Supervisor: Jan JOHANNES
Michael Sucker (2020) Rethinking statistical learning theory.Read more… Supervisor: Jan JOHANNES
Hannah Kümpel (2020) A Bernstein von Mises theorem for nonparametric regression.Read more… Supervisor: Jan JOHANNES
Bérénice Robert (2019) Posterior concentration rates for Aalen processes.Read more… Supervisors: Sergio Brenner Miguel and Jan JOHANNES
Maria Frech (2019) Minimax optimality of adaptive Fisher tests.Read more… Supervisors: Sandra Schluttenhofer and Jan JOHANNES
Alexander Sauer (2019) Nonparametric regression on non compact sets.Read more… Supervisors: Sergio Brenner Miguel and Jan JOHANNES
Bianca Neubert (2019) Minimax classification with the nearest neighbor rule.Read more… Supervisor: Jan JOHANNES
Moritz Haas (2019) Fréchet Analysis of Variance for random objects.Read more… Supervisors: Christof Schötz and Jan JOHANNES
Lena Krienke (2018) Calibrating data-driven estimators in presence of censoring.Read more… Supervisors: Sergio Brenner Miguel and Jan JOHANNES
Petrus Salminen (2018) Nichtparametrische Regressionsschätzung durch Modellwahl.Read more… Supervisor: Jan JOHANNES
Stefanie Döbler (2017) Gibbs Sampling of DNA Sequences using Bayesian Hidden Markov Models.Read more… Supervisors: Xavier Loizeau and Jan JOHANNES
Konstantin Klumpp (2016) Adaptive posterior concentration rates under sup norm loss.Read more… Supervisor: Jan JOHANNES
PhD committee and jury
Nathawut Phandoidaen, Heidelberg University (2022) Statistical analysis of dependent data.Read more… Supervisor and examiner: Rainer Dahlhaus (Heidelberg University), second examiner: Jan JOHANNES
Ousmane SACKO, Université de Paris, Frankreich (2021) Estimation par projection pour des problèmes inverses sur des espaces de Laguerre et d'Hermite.Read more… Supervisors: Fabienne COMTE (Université de Paris) und Céline DUVAL (Université de Lille), examiner: Jan JOHANNES
Walter Cedric SIMO TAO LEE, Université Toulouse 3 Paul Sabatier, Frankreich (2020) On the variational approach to mollification in the theory of ill-posed problems and applications.Read more… Supervisors: Pierre MARÉCHAL (Université Toulouse 3) und Anne VANHEMS (Toulouse Business School), examiner: Jan JOHANNES
Moritz von Rohrscheidt, Heidelberg University (2017) Bayesian nonparametric inference for queueing systems.Read more… Supervisor and examiner: Rainer Dahlhaus (Heidelberg University), second examiner: Jan JOHANNES
Martin Kroll, University of Mannheim (2017) Concentration inequalities for Poisson point processes with applications to non-parametric statistics.Read more… Supervisor and examiner: Martin Schlather (University of Mannheim), second examiner: Jan JOHANNES
