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Number of items at this level: 46.

A

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]

B

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

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]

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

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]

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

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

D

Devroye, Luc and Felber, Tina and Kohler, Michael (2013):
Estimation of a density using real and artificial data.
In: IEEE Transactions on Information Theory, pp. 1917-1928, 59, [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:.
In: Statistics and Probability Letters , pp. 173-179, 82, [Article]

E

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]

Enss, Georg Christoph and Götz, Benedict and Kohler, Michael and Krzyzak, Adam and Platz, Roland (2014):
Nonparametric estimation of a maximum of quantiles.
In: Electronic Journal of Statistics, pp. 3176-3192, 8, ISSN 1935-7524,
[Article]

F

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

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

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

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]

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

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]

G

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

H

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

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]

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

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]

J

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

K

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

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

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

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

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

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

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

L

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]

M

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

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

S

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]

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]

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]

T

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

W

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]

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 Jul 21 01:13:45 2019 CEST.