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Number of items at this level (without sub-levels): 58.

Kersting, Sebastian (2021):
Quantifizierung von Unsicherheit mit tiefen neuronalen Netzen.
In: Mathematik, München, Verlag Dr. Hut, TU Darmstadt, ISBN 978-3-8439-4695-7,
[Ph.D. Thesis]

Kohler, Michael ; Krzyzak, Adam (2021):
Estimation of a density using an improved surrogate model.
In: Electronic Journal of Statistics, 15 (1), pp. 650-690. Institute of Mathematical Statistics, ISSN 1935-7524,
DOI: 10.1214/20-EJS1774,
[Article]

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

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

Langer, Sophie (2020):
Ein Beitrag zur statistischen Theorie des Deep Learnings.
München, Verlag Dr. Hut, TU Darmstadt, ISBN 978-3-8439-4481-6,
[Ph.D. Thesis]

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]

Kohler, Michael ; Krzyzak, Adam (2020):
Estimating quantiles in imperfect simulation models using conditional density estimation.
72, In: Annals of the Institute of Statistical Mathematics, 2020 (1), pp. 123-155. Springer, ISSN 1572-9052,
DOI: 10.1007/s10463-018-0683-8,
[Article]

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

Kohler, Michael ; Tent, Reinhard (2019):
Nonparametric quantile estimation using surrogate models and importance sampling.
In: Metrika: international journal for theoretical and applied statistics, Berlin Heidelberg : Springer, ISSN 0026-1335,
DOI: 10.1007/s00184-019-00736-3,
[Article]

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), pp. 2261-2285. Institute of Mathematical Statistics, ISSN 0090-5364,
DOI: 10.1214/18-AOS1747,
[Article]

Kohler, Michael ; Krzyzak, Adam (2019):
Estimation of extreme quantiles in a simulation model.
In: Journal of Nonparametric Statistics, 31 (2), pp. 393-419. ISSN 1048-5252,
DOI: 10.1080/10485252.2019.1567727,
[Article]

Heimrich, Felix ; Kohler, Michael ; Kristl, Lisa (2019):
Nonparametric estimation of time-dependent quantiles in a simulation model.
In: Statistica Sinica, 30, pp. 1-17. ISSN 1017-0405,
[Article]

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

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

Pelz, P. F. ; Groche, Peter (eds.) (2018):
Uncertainty in Mechanical Engineering III.
International Conference on Uncertainty in Mechanical Engineering, Darmstadt, ISBN 978-3-0357-1310-7,
DOI: 10.4028/www.scientific.net/AMM.885,
[Conference or Workshop Item]

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]

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]

Bauer, Benedikt (2018):
Statistische Aspekte der Schätzung von Ersatzmodellen und des Deep Learnings in hohen Dimensionen.
München, Verlag Dr. Hut, TU Darmstadt, ISBN 978-3-8439-3466-4,
[Ph.D. Thesis]

Kohler, Michael ; Krzyzak, Adam (2018):
Adaptive Estimation of Quantiles in a Simulation Model.
In: IEEE Transactions on Infromation Theory, 64 (1), pp. 501-512. ISSN 0018-9448,
DOI: 10.1109/TIT.2017.2743177,
[Article]

Müller, Florian (2018):
Nichtparametrische Kurvenschätzung für latente Variablen.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

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

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

Hansmann, Matthias (2017):
Nichtparametrische Schätzung von (bedingten) Quantilen und bedingten Verteilungen ausgehend von Daten mit zusätzlichen Messfehlern.
In: Mathematik, München, Verlag Dr. Hut, TU Darmstadt, ISBN 978-3-8439-3319-3,
[Ph.D. Thesis]

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, Springer, ISSN 1572-9052,
[Article]

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, pp. 93-104. [Article]

Kohler, Michael ; Krzyzak, Adam (2017):
Nonparametric Regression Based on Hierarchical Interaction Models.
In: IEEE Transactions on Information Theory, 63 (3), pp. 1620-1630. [Article]

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

Kristl, Lisa (2017):
Nichtparametrische Schätzung zeitvarianter Dichten und zeitvarianter Quantile in einem Simulationsmodell.
In: Mathematik, München, Verlag Dr. Hut, TU Darmstadt, ISBN 978-3-8439-3262-2,
[Ph.D. Thesis]

Tent, Reinhard (2017):
Nichtparametrische Schätzung von Quantilen unter Verwendung von Importance-Sampling und Ersatzmodellen.
In: Mathematik, München, Verlag Dr. Hut, TU Darmstadt, ISBN 978-3-8439-3269-1,
[Ph.D. Thesis]

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), pp. 5727 -5739. [Article]

Bott, Ann-Kathrin ; Felber, Tina ; Kohler, Michael ; Kristl, Lisa (2016):
Estimation of a time-dependent density.
In: Journal of Statistical Planning and Inference, 180, pp. 81-107. [Article]

Felber, Tina ; Kohler, Michael ; Krzyzak, Adam (2015):
Adaptive Density Estimation From Data With Small Measurement Errors.
In: IEEE Transactions on Infromation Theory, 61 (6), pp. 3446-3456. [Article]

Felber, Tina ; Kohler, Michael ; Krzyzak, Adam (2015):
Adaptive density estimation based on real and artificial data.
In: Journal of Nonparametric Statistics, 27, pp. 1-18. [Article]

Bott, Ann-Kathrin ; Felber, Tina ; Kohler, Michael (2015):
Estimation of a density in a simulation model.
In: Journal of Nonparametric Statistics, 27 (3), pp. 271-285. [Article]

Furer, Dmytro ; Kohler, Michael (2015):
Smoothing spline regression based on real and artificial data.
In: Metrika, 78 (6), pp. 711-746. ISSN 0026-1335,
[Article]

Bott, Ann-Kathrin (2015):
Nichtparametrische Schätzung von (bedingten) Verteilungen ausgehend von Daten mit zusätzlichen Messfehlern.
München, Dr. Hut, TU Darmstadt, ISBN 978-3-8439-2212-8,
[Ph.D. Thesis]

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, pp. 3176-3192. ISSN 1935-7524,
[Article]

Kohler, Michael (2014):
Optimal global rates of convergence for noiseless regression estimation problems with adaptively chosen design.
In: Journal of Multivariate Analysis, (132), pp. 197-208. [Article]

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

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]

Kohler, Michael ; Krzyzak, Adam ; Walk, Harro (2014):
Nonparametric recursive quantile estimation.
In: Statistics and Probability Letters, 93, pp. 102-107. [Article]

Sauer, Martin (2013):
Existence and uniqueness results for Randomly forced generalized Newtonian fluids.
München, Dr. Hut, TU Darmstadt, ISBN 978-3-8439-0956-3,
[Ph.D. Thesis]

Jones, Daniel (2013):
Optimales Stoppen und das Static Forecasting Problem.
Aachen, Shaker, TU Darmstadt, ISBN 978-3-8440-1814-1,
[Ph.D. Thesis]

Felber, Tina (2013):
Universell L1-konsistente Schätzung der Dichte der Fehler in einem Regressionsmodell und einer stationär ergodischen Zeitreihe.
Aachen, Shaker-Verlag, TU Darmstadt,
[Ph.D. Thesis]

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]

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

Schöchtel, Georg (2013):
Motion of Inertial Particles in Gaussian Fields Driven by an Infinite-Dimensional Fractional Brownian Motion.
TU Darmstadt,
[Ph.D. Thesis]

Devroye, Luc ; Felber, Tina ; Kohler, Michael (2013):
Estimation of a density using real and artificial data.
In: IEEE Transactions on Information Theory, 59, pp. 1917-1928. [Article]

Henkel, Daniel (2012):
Pointwise Approximation of Coupled Ornstein-Uhlenbeck Processes.
TU Darmstadt,
[Ph.D. Thesis]

Fromkorth, Andreas (2012):
Konsistenz regressionsbasierter Monte-Carlo-Verfahren zur Optionsbewertung mit geschätzten Modellen.
München, Verl. Dr. Hut, TU Darmstadt, ISBN 978-3-8439-0460-5,
[Ph.D. Thesis]

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

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, pp. 173-179. [Article]

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

Küpper, Dominique (2009):
Runge-Kutta methods for stochastic differential-algebraic equations.
München, Hut, ISBN 978-3-86853-245-6 ; 3-86853-245-5,
[Book]

Mehnert, Jens Eric Markus (2009):
Using unlabeled data for text classification.
München, Hut, ISBN 978-3-86853-261-6,
[Book]

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

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

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

This list was generated on Thu Jun 24 01:40:18 2021 CEST.