A

Aurzada, Frank ; Betz, Volker ; Lifshits, Mikhail (2021)
Universal break law for a class of models of polymer rupture.
In: Journal of Physics A: Mathematical and Theoretical, 54 (30)
doi: 10.1088/1751-8121/ac0bcd
Article, Bibliographie

Aurzada, Frank ; Buck, Micha (2020)
Ruin probabilities in the Cramér–Lundberg model with temporarily negative capital.
In: European Actuarial Journal, 10 (1)
doi: 10.1007/s13385-020-00223-4
Article, Bibliographie

Aurzada, Frank ; Schwinn, Sebastian (2018)
Scaling limits for a random balls model.
12th International Vilnius Conference on Probability Theory and Mathematical Statistics and 2018 IMS Annual Meeting on Probability and Statistics. Vilnius, Lithuania (02.07.-06.07.2018)
Conference or Workshop Item, Bibliographie

Aurzada, Frank ; Schwinn, Sebastian (2018)
Improving the performance of polling models using forced idle times.
13th German Probability and Statistics Days 2018 – Freiburger Stochastik-Tage. Freiburg (27.02.-02.03.2018)
Conference or Workshop Item, Bibliographie

B

Braun, Alina (2021)
In Theory and Practice - On the Rate of Convergence of Implementable Neural Network Regression Estimates.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00019052
Ph.D. Thesis, Primary publication, Publisher's Version

Buck, Micha Matthäus (2020)
Exit problems for fractional processes, random walks and an insurance model.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00011735
Ph.D. Thesis, Primary publication

Bauer, Benedikt ; Kohler, Michael (2019)
On deep learning as a remedy for the curse of dimensionality in nonparametric regression.
In: The Annals of Statistics, 47 (4)
doi: 10.1214/18-AOS1747
Article, Bibliographie

Bauer, Benedikt (2018)
Statistische Aspekte der Schätzung von Ersatzmodellen und des Deep Learnings in hohen Dimensionen.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie

Bauer, Benedikt ; Heimrich, Felix ; Kohler, Michael ; Krzyzak, Adam (2017)
On estimation of surrogate models for multivariate computer experiments.
In: Annals of the Institute of Statistical Mathematics, 69
Article, Bibliographie

Bauer, Benedikt ; Devroye, Luc ; Kohler, Michael ; Krzyzak, Adam ; Walk, Harro (2017)
Nonparametric estimation of a function from noiseless observations at random points.
In: Journal of Multivariate Analysis, 160
Article, Bibliographie

Bott, Ann-Kathrin ; Felber, Tina ; Kohler, Michael ; Kristl, Lisa (2016)
Estimation of a time-dependent density.
In: Journal of Statistical Planning and Inference, 180
Article, Bibliographie

Bott, Ann-Kathrin ; Felber, Tina ; Kohler, Michael (2015)
Estimation of a density in a simulation model.
In: Journal of Nonparametric Statistics, 27 (3)
doi: 10.1080/10485252.2015.1049601
Article, Bibliographie

Bott, Ann-Kathrin (2015)
Nichtparametrische Schätzung von (bedingten) Verteilungen ausgehend von Daten mit zusätzlichen Messfehlern.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie

Bott, Ann-Kathrin ; Kohler, Michael (2014)
Nonparametric estimation of a conditional density.
In: ESAIM Probability and Statistics
Article, Bibliographie

D

Dalinger, Alexander (2019)
On the hydrodynamic behaviour of a particle system with nearest neighbour interactions.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Devroye, Luc ; Felber, Tina ; Kohler, Michael (2013)
Estimation of a density using real and artificial data.
In: IEEE Transactions on Information Theory, 59
Article, Bibliographie

Devroye, Luc ; Felber, Tina ; Kohler, Michael ; Krzyzak, Adam (2012)
L1-consistent estimation of the density of residuals in random design regression models:.
In: Statistics and Probability Letters , 82
Article, Bibliographie

E

Ehlert, Johannes Florian (2022)
The Random Loop Model on Trees.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie

Enss, Georg Christoph ; Kohler, Michael ; Krzyzak, Adam ; Platz, Roland (2016)
Nonparametric quantile estimation based on surrogate models.
In: IEEE Transaction on Information Theory, 62 (10)
Article, Bibliographie

Enss, Georg Christoph ; Götz, Benedict ; Kohler, Michael ; Krzyzak, Adam ; Platz, Roland (2014)
Nonparametric estimation of a maximum of quantiles.
In: Electronic Journal of Statistics, 8
Article, Bibliographie

F

Felber, Tina ; Kohler, Michael ; Krzyzak, Adam (2015)
Adaptive Density Estimation From Data With Small Measurement Errors.
In: IEEE Transactions on Infromation Theory, 61 (6)
Article, Bibliographie

Felber, Tina ; Kohler, Michael ; Krzyzak, Adam (2015)
Adaptive density estimation based on real and artificial data.
In: Journal of Nonparametric Statistics, 27
Article, Bibliographie

Furer, Dmytro ; Kohler, Michael (2015)
Smoothing spline regression based on real and artificial data.
In: Metrika, 78 (6)
Article, Bibliographie

Felber, Tina ; Jones, Daniel ; Kohler, Michael ; Walk, Harro (2014)
Weakly universally consistent static forecasting of stationary and ergodic time series via local averaging and least squares estimates.
In: Journal of Statistical Planning and Inference,
Article, Bibliographie

Felber, Tina (2013)
Universell L1-konsistente Schätzung der Dichte der Fehler in einem Regressionsmodell und einer stationär ergodischen Zeitreihe.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie

Furer, Dmytro ; Kohler, Michael (2013)
Fixed design regression estimation based on real and artificial data.
In: Journal of Nonparametric Statistics
Article, Bibliographie

Fromkorth, Andreas (2012)
Konsistenz regressionsbasierter Monte-Carlo-Verfahren zur Optionsbewertung mit geschätzten Modellen.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie

G

Götz, Benedict ; Kersting, Sebastian ; Kohler, Michael (2020)
Estimation of an improved surrogate model in uncertainty quantification by neural networks.
In: Annals of the Institute of Statistical Mathematics
doi: 10.1007/s10463-020-00748-1
Article, Bibliographie

Györfi, László ; Kohler, Michael ; Krzyzak, Adam ; Walk, Harro (2002)
A distribution-free theory of nonparametric regression.
Book, Bibliographie

H

Hansmann, Matthias ; Horn, Benjamin M. ; Kohler, Michael ; Ulbrich, Stefan (2022)
Estimation of conditional distribution functions from data with additional errors applied to shape optimization.
In: Metrika, 85 (3)
doi: 10.1007/s00184-021-00831-4
Article, Bibliographie

Heimrich, Felix ; Kohler, Michael ; Kristl, Lisa (2019)
Nonparametric estimation of time-dependent quantiles in a simulation model.
In: Statistica Sinica, 30
Article, Bibliographie

Hansmann, Matthias (2017)
Nichtparametrische Schätzung von (bedingten) Quantilen und bedingten Verteilungen ausgehend von Daten mit zusätzlichen Messfehlern.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie

Hertel, Ida ; Kohler, Michael (2013)
Estimation of the optimal design of a nonlinear parametric regression problem via Monte Carlo experiments.
In: Computational Statistics and Data Analysis
Article, Bibliographie

Henkel, Daniel (2012)
Pointwise Approximation of Coupled Ornstein-Uhlenbeck Processes.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Hertel, Ida ; Tomasella, Alessio ; Kohler, Michael ; Hanselka, Holger (2012)
Fragestellungen der Bauteilbewertung in Hinblick auf die Betriebsfestigkeit.
In: Tagungsband 4. Zwischenkolloquium SFB 666
Article, Bibliographie

J

Jones, Daniel (2013)
Optimales Stoppen und das Static Forecasting Problem.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie

K

Kilian, Martin Alexander Dennis (2023)
Persistence problems for fractional processes.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00022949
Ph.D. Thesis, Primary publication, Publisher's Version

Kersting, Sebastian (2021)
Quantifizierung von Unsicherheit mit tiefen neuronalen Netzen.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie

Kohler, Michael ; Krzyzak, Adam (2021)
Estimation of a density using an improved surrogate model.
In: Electronic Journal of Statistics, 15 (1)
doi: 10.1214/20-EJS1774
Article, Bibliographie

Kettner, Marvin (2021)
Persistence exponents via perturbation theory : autoregressive and moving average processes.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00017566
Ph.D. Thesis, Primary publication, Publisher's Version

Kohler, Michael ; Krzyzak, Adam (2020)
Estimating quantiles in imperfect simulation models using conditional density estimation.
In: Annals of the Institute of Statistical Mathematics, 72 (1)
doi: 10.1007/s10463-018-0683-8
Article, Bibliographie

Kohler, Michael ; Tent, Reinhard (2019)
Nonparametric quantile estimation using surrogate models and importance sampling.
In: Metrika: international journal for theoretical and applied statistics
doi: 10.1007/s00184-019-00736-3
Article, Bibliographie

Kohler, Michael ; Krzyzak, Adam (2019)
Estimation of extreme quantiles in a simulation model.
In: Journal of Nonparametric Statistics, 31 (2)
doi: 10.1080/10485252.2019.1567727
Article, Bibliographie

Kohler, Michael ; Krzyzak, Adam (2018)
Adaptive Estimation of Quantiles in a Simulation Model.
In: IEEE Transactions on Infromation Theory, 64 (1)
doi: 10.1109/TIT.2017.2743177
Article, Bibliographie

Kohler, Michael ; Krzyzak, Adam (2017)
Nonparametric Regression Based on Hierarchical Interaction Models.
In: IEEE Transactions on Information Theory, 63 (3)
Article, Bibliographie

Kristl, Lisa (2017)
Nichtparametrische Schätzung zeitvarianter Dichten und zeitvarianter Quantile in einem Simulationsmodell.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie

Kohler, Michael (2014)
Optimal global rates of convergence for noiseless regression estimation problems with adaptively chosen design.
In: Journal of Multivariate Analysis, (132)
Article, Bibliographie

Kohler, Michael ; Krzyzak, Adam ; Walk, Harro (2014)
Nonparametric recursive quantile estimation.
In: Statistics and Probability Letters, 93
Article, Bibliographie

Kohler, Michael ; Krzyzak, Adam ; Walk, Harro (2011)
Estimation of the essential supremum of a regression function.
In: Statistics & Probability Letters, (81)
Article, Bibliographie

Küpper, Dominique (2009)
Runge-Kutta methods for stochastic differential-algebraic equations.
Book, Bibliographie

L

Langer, Sophie (2020)
Ein Beitrag zur statistischen Theorie des Deep Learnings.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie

Lübbers, Jan-Erik (2019)
Displacement of biased random walk in a one-dimensional percolation model.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

M

März, Lars Steffen (2024)
Robust Optimization for Adversarial Deep Learning.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00026745
Master Thesis, Primary publication, Publisher's Version

Müller, Florian (2018)
Nichtparametrische Kurvenschätzung für latente Variablen.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Mehnert, Jens Eric Markus (2009)
Using unlabeled data for text classification.
Book, Bibliographie

S

Schickentanz, Dominic Tobias Raphael (2024)
Brownian Motion with Limited Occupation Times.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00026733
Ph.D. Thesis, Primary publication, Publisher's Version

Spiller, Dominic ; Brunk, Aaron ; Habrich, Oliver ; Egger, Herbert ; Lukáčová-Medvid’ová, Mária ; Dünweg, Burkhard (2021)
Systematic derivation of hydrodynamic equations for viscoelastic phase separation.
In: Journal of Physics: Condensed Matter, 33 (36)
doi: 10.1088/1361-648X/ac0d17
Article, Bibliographie

Schwinn, Sebastian (2018)
Mathematical analysis of models from communications engineering.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Schäfer, Helge (2018)
The Cycle Structure of Random Permutations without Macroscopic Cycles.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Sauer, Martin (2013)
Existence and uniqueness results for Randomly forced generalized Newtonian fluids.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie

Schöchtel, Georg (2013)
Motion of Inertial Particles in Gaussian Fields Driven by an Infinite-Dimensional Fractional Brownian Motion.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

T

Tent, Reinhard (2017)
Nichtparametrische Schätzung von Quantilen unter Verwendung von Importance-Sampling und Ersatzmodellen.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie

W

Walter, Benjamin (2023)
Konvergenzraten von Bildklassifikatoren basierend auf faltenden neuronalen Netzen.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00024333
Ph.D. Thesis, Primary publication, Publisher's Version

Wichelhaus, Cornelia (2020)
Nonparametric estimation in stochastic networks.
Technische Universität Darmstadt
Habilitation, Bibliographie

Walter, Stefan (2017)
Curve Shortening Flow for Spatial Random Permutations.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Wagner, Tim (2008)
Optimal One-Point Approximation of Stochastic Heat Equations with Additive Noise.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Wagner, Tim Carsten (2007)
Optimal one-point approximation of stochastic heat equations with additive noise.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie