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Number of items: 17.

Kohler, Michael and Krzyzak, Adam (2020):
Estimating quantiles in imperfect simulation models using conditional density estimation.
In: Annals of the Institute of Statistical Mathematics, 72 (1), 2020. 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 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,
[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, 64 (1), pp. 501-512, ISSN 0018-9448,
DOI: 10.1109/TIT.2017.2743177,
[Article]

Kohler, Michael and Krzyzak, Adam and Mallapur, Shashidhar and Platz, Roland (2018):
Uncertainty Quantification in Case of Imperfect Models: A Non-Bayesian Approach.
In: Scandinavian Journal of Statistics, Wiley Publishing Ltd., [Article]

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, 69Springer, 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.
In: IEEE Transactions on Information Theory, 63 (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]

Felber, Tina and Kohler, Michael and 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 and Kohler, Michael and Krzyzak, Adam (2015):
Adaptive density estimation based on real and artificial data.
In: Journal of Nonparametric Statistics, 27pp. 1-18, [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, 8pp. 3176-3192, ISSN 1935-7524,
[Article]

Kohler, Michael and Krzyzak, Adam and Walk, Harro (2014):
Nonparametric recursive quantile estimation.
In: Statistics and Probability Letters, 93pp. 102-107, [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 , 82pp. 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]

Kohler, Michael and Krzyzak, Adam (2007):
Asymptotic confidence intervals for Poisson regression.
In: Journal of Multivariate Analysis, 98pp. 1072-1094, [Article]

Kohler, Michael and Krzyzak, Adam (2007):
On the rate of convergence of local averaging plug-in classification rules under a margin condition.
In: IEEE Transactions on Information Theory, 53pp. 1735-1742, [Article]

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

This list was generated on Tue Apr 7 00:25:06 2020 CEST.