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Number of items at this level: 51.

Article

Kohler, Michael and Krzyzak, Adam (2020):
Estimating quantiles in imperfect simulation models using conditional density estimation.
72, In: Annals of the Institute of Statistical Mathematics, 2020, (1), Springer, pp. 123-155, ISSN 1572-9052, DOI: 10.1007/s10463-018-0683-8,
[Online-Edition: https://link.springer.com/article/10.1007%2Fs10463-018-0683-...],
[Article]

Kohler, Michael and 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,
[Online-Edition: https://link.springer.com/article/10.1007/s00184-019-00736-3],
[Article]

Bauer, Benedikt and Kohler, Michael (2019):
On deep learning as a remedy for the curse of dimensionality in nonparametric regression.
47, In: The Annals of Statistics, (4), Institute of Mathematical Statistics, pp. 2261-2285, ISSN 0090-5364, DOI: 10.1214/18-AOS1747,
[Article]

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

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

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

Bauer, Benedikt and Heimrich, Felix and Kohler, Michael and Krzyzak, Adam (2017):
On estimation of surrogate models for multivariate computer experiments.
69, In: Annals of the Institute of Statistical Mathematics, Springer, ISSN 1572-9052, [Online-Edition: Http://10.1007/s10463-017-0627-8],
[Article]

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

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

Enss, Georg Christoph and Kohler, Michael and Krzyzak, Adam and Platz, Roland (2016):
Nonparametric quantile estimation based on surrogate models.
In: IEEE Transaction on Information Theory, pp. 5727 -5739, [Article]

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

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

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

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

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

Enss, Georg Christoph and Götz, Benedict and Kohler, Michael and Krzyzak, Adam and Platz, Roland (2014):
Nonparametric estimation of a maximum of quantiles.
8, In: Electronic Journal of Statistics, 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 and Kohler, Michael (2014):
Nonparametric estimation of a conditional density.
In: ESAIM Probability and Statistics, [Article]

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

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

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

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

Devroye, Luc and Felber, Tina and Kohler, Michael and Krzyzak, Adam (2012):
L1-consistent estimation of the density of residuals in random design regression models:.
82, In: Statistics and Probability Letters , pp. 173-179, [Article]

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

Book

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]

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

Conference or Workshop Item

Pelz, P. F. and Groche, Peter (eds.) (2018):
Uncertainty in Mechanical Engineering III.
In: International Conference on Uncertainty in Mechanical Engineering, Darmstadt, ISBN 978-3-0357-1310-7,
DOI: 10.4028/www.scientific.net/AMM.885,
[Online-Edition: https://tuprints.ulb.tu-darmstadt.de/8274],
[Conference or Workshop Item]

Aurzada, Frank and Schwinn, Sebastian (2018):
Scaling limits for a random balls model.
In: 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 and Schwinn, Sebastian (2018):
Improving the performance of polling models using forced idle times.
In: 13th German Probability and Statistics Days 2018 – Freiburger Stochastik-Tage, Freiburg, 27.02.-02.03.2018, [Conference or Workshop Item]

Ph.D. Thesis

Lübbers, Jan-Erik (2019):
Displacement of biased random walk in a one-dimensional percolation model.
Darmstadt, Technische Universität, [Online-Edition: https://tuprints.ulb.tu-darmstadt.de/8537],
[Ph.D. Thesis]

Dalinger, Alexander (2019):
On the hydrodynamic behaviour of a particle system with nearest neighbour interactions.
Darmstadt, Technische Universität, [Online-Edition: https://tuprints.ulb.tu-darmstadt.de/9194],
[Ph.D. Thesis]

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]

Müller, Florian (2018):
Nichtparametrische Kurvenschätzung für latente Variablen.
Darmstadt, Technische Universität, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/7246],
[Ph.D. Thesis]

Schwinn, Sebastian (2018):
Mathematical analysis of models from communications engineering.
Darmstadt, Technische Universität, [Online-Edition: https://tuprints.ulb.tu-darmstadt.de/7766],
[Ph.D. Thesis]

Schäfer, Helge (2018):
The Cycle Structure of Random Permutations without Macroscopic Cycles.
Darmstadt, Technische Universität, [Online-Edition: https://tuprints.ulb.tu-darmstadt.de/8148],
[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]

Walter, Stefan (2017):
Curve Shortening Flow for Spatial Random Permutations.
Darmstadt, Technische Universität, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/6514],
[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]

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]

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]

Schöchtel, Georg (2013):
Motion of Inertial Particles in Gaussian Fields Driven by an Infinite-Dimensional Fractional Brownian Motion.
TU Darmstadt, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/3322/],
[Ph.D. Thesis]

Henkel, Daniel (2012):
Pointwise Approximation of Coupled Ornstein-Uhlenbeck Processes.
TU Darmstadt, [Online-Edition: urn:nbn:de:tuda-tuprints-30650],
[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]

Wagner, Tim (2008):
Optimal One-Point Approximation of Stochastic Heat Equations with Additive Noise.
Darmstadt, Technische Universität, TU Darmstadt, [Online-Edition: urn:nbn:de:tuda-tuprints-11703],
[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]

This list was generated on Sun Feb 23 01:41:15 2020 CET.