Items in division
- TU Darmstadt (106643)
- 04 Department of Mathematics (2687)
- Stochastik (69)
- 04 Department of Mathematics (2687)
Article
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
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
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
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
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
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
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
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
Heimrich, Felix ; Kohler, Michael ; Kristl, Lisa (2019)
Nonparametric estimation of time-dependent quantiles in a simulation model.
In: Statistica Sinica, 30
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
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
Kohler, Michael ; Krzyzak, Adam (2017)
Nonparametric Regression Based on Hierarchical Interaction Models.
In: IEEE Transactions on Information Theory, 63 (3)
Article, 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
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
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
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
Furer, Dmytro ; Kohler, Michael (2015)
Smoothing spline regression based on real and artificial data.
In: Metrika, 78 (6)
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
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
Bott, Ann-Kathrin ; Kohler, Michael (2014)
Nonparametric estimation of a conditional density.
In: ESAIM Probability and Statistics
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
Kohler, Michael ; Krzyzak, Adam ; Walk, Harro (2014)
Nonparametric recursive quantile estimation.
In: Statistics and Probability Letters, 93
Article, 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
Furer, Dmytro ; Kohler, Michael (2013)
Fixed design regression estimation based on real and artificial data.
In: Journal of Nonparametric Statistics
Article, Bibliographie
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
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
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
Kohler, Michael ; Krzyzak, Adam ; Walk, Harro (2011)
Estimation of the essential supremum of a regression function.
In: Statistics & Probability Letters, (81)
Article, Bibliographie
Book
Küpper, Dominique (2009)
Runge-Kutta methods for stochastic differential-algebraic equations.
Book, Bibliographie
Mehnert, Jens Eric Markus (2009)
Using unlabeled data for text classification.
Book, Bibliographie
Györfi, László ; Kohler, Michael ; Krzyzak, Adam ; Walk, Harro (2002)
A distribution-free theory of nonparametric regression.
Book, Bibliographie
Conference or Workshop Item
eds.: Pelz, Peter F. ; Groche, Peter (2021)
Uncertainty in Mechanical Engineering : Proceedings of the 4th International
Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7–8, 2021.
International Conference on Uncertainty in Mechanical Engineering (ICUME 2021). (07.-08.06.2021)
doi: 10.1007/978-3-030-77256-7
Conference or Workshop Item, Bibliographie
eds.: Pelz, P. F. ; Groche, Peter (2018)
Uncertainty in Mechanical Engineering III.
International Conference on Uncertainty in Mechanical Engineering. Darmstadt
doi: 10.4028/www.scientific.net/AMM.885
Conference or Workshop Item, Primary publication
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
Habilitation
Wichelhaus, Cornelia (2020)
Nonparametric estimation in stochastic networks.
Technische Universität Darmstadt
Habilitation, Bibliographie
Ph.D. Thesis
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
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
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
Ehlert, Johannes Florian (2022)
The Random Loop Model on Trees.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie
Kersting, Sebastian (2021)
Quantifizierung von Unsicherheit mit tiefen neuronalen Netzen.
Technische Universität Darmstadt
Ph.D. Thesis, 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
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
Langer, Sophie (2020)
Ein Beitrag zur statistischen Theorie des Deep Learnings.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie
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
Lübbers, Jan-Erik (2019)
Displacement of biased random walk in a one-dimensional percolation model.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication
Dalinger, Alexander (2019)
On the hydrodynamic behaviour of a particle system with nearest neighbour interactions.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication
Bauer, Benedikt (2018)
Statistische Aspekte der Schätzung von Ersatzmodellen und des Deep Learnings in hohen Dimensionen.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie
Müller, Florian (2018)
Nichtparametrische Kurvenschätzung für latente Variablen.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication
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
Hansmann, Matthias (2017)
Nichtparametrische Schätzung von (bedingten) Quantilen und bedingten Verteilungen ausgehend von Daten mit zusätzlichen Messfehlern.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie
Walter, Stefan (2017)
Curve Shortening Flow for Spatial Random Permutations.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication
Kristl, Lisa (2017)
Nichtparametrische Schätzung zeitvarianter Dichten und zeitvarianter Quantile in einem Simulationsmodell.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie
Tent, Reinhard (2017)
Nichtparametrische Schätzung von Quantilen unter Verwendung von Importance-Sampling und Ersatzmodellen.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie
Bott, Ann-Kathrin (2015)
Nichtparametrische Schätzung von (bedingten) Verteilungen ausgehend von Daten mit zusätzlichen Messfehlern.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie
Sauer, Martin (2013)
Existence and uniqueness results for Randomly forced generalized Newtonian fluids.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie
Jones, Daniel (2013)
Optimales Stoppen und das Static Forecasting Problem.
Technische Universität Darmstadt
Ph.D. Thesis, 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
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
Henkel, Daniel (2012)
Pointwise Approximation of Coupled Ornstein-Uhlenbeck Processes.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication
Fromkorth, Andreas (2012)
Konsistenz regressionsbasierter Monte-Carlo-Verfahren zur Optionsbewertung mit geschätzten Modellen.
Technische Universität Darmstadt
Ph.D. Thesis, Bibliographie
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
Master Thesis
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