Found: 18
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Gradient boosting for extreme quantile regression.
- Published in:
- Extremes, 2023, v. 26, n. 4, p. 639, doi. 10.1007/s10687-023-00473-x
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- Article
A UNIFYING APPROACH TO FRACTIONAL LÉVY PROCESSES.
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- Stochastics & Dynamics, 2013, v. 13, n. 2, p. 1250017-1, doi. 10.1142/S0219493712500177
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- Article
Extreme value theory for anomaly detection – the GPD classifier.
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- Extremes, 2020, v. 23, n. 4, p. 501, doi. 10.1007/s10687-020-00393-0
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- Article
Extremal dependence of random scale constructions.
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- Extremes, 2019, v. 22, n. 4, p. 623, doi. 10.1007/s10687-019-00353-3
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- Article
Generalized Pickands constants and stationary max-stable processes.
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- Extremes, 2017, v. 20, n. 3, p. 493, doi. 10.1007/s10687-017-0289-1
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- Article
A characterization of the normal distribution using stationary max-stable processes.
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- Extremes, 2016, v. 19, n. 1, p. 1, doi. 10.1007/s10687-015-0235-z
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- Article
The Effect of a Short Observational Record on the Statistics of Temperature Extremes.
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- Geophysical Research Letters, 2023, v. 50, n. 16, p. 1, doi. 10.1029/2023GL104090
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- Article
Environmental and Ecological Statistics with R. Song S. Qian (2010). Boca Raton, FL, USA: Chapman & Hall/CRC. ISBN: 978-1-4200-6206-9.
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- Biometrical Journal, 2011, v. 53, n. 5, p. 867, doi. 10.1002/bimj.201100120
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- Article
Structure learning for extremal tree models.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 2055, doi. 10.1111/rssb.12556
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- Article
Graphical models for extremes.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020, v. 82, n. 4, p. 871, doi. 10.1111/rssb.12355
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- Article
Estimation of Hüsler-Reiss distributions and Brown-Resnick processes.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2015, v. 77, n. 1, p. 239, doi. 10.1111/rssb.12074
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- Article
Evaluating the dependence structure of compound precipitation and wind speed extremes.
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- Earth System Dynamics Discussions, 2020, p. 1, doi. 10.5194/esd-2020-31
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- Article
Evaluating the dependence structure of compound precipitation and wind speed extremes.
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- Earth System Dynamics, 2021, v. 12, n. 1, p. 1, doi. 10.5194/esd-12-1-2021
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- Article
Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks.
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- Environmental Data Science, 2022, v. 1, p. 1, doi. 10.1017/eds.2022.4
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- Article
STATISTICAL INFERENCE FOR MAX-STABLE PROCESSES BY CONDITIONING ON EXTREME EVENTS.
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- Advances in Applied Probability, 2014, v. 46, n. 2, p. 478, doi. 10.1239/aap/1401369703
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- Article
Extremal behaviour of aggregated data with an application to downscaling.
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- Biometrika, 2019, v. 106, n. 1, p. 127, doi. 10.1093/biomet/asy052
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- Article
Exact simulation of max-stable processes.
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- Biometrika, 2016, v. 103, n. 2, p. 303, doi. 10.1093/biomet/asw008
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- Article
Asymmetric Dependence in Hydrological Extremes.
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- Water Resources Research, 2023, v. 59, n. 12, p. 1, doi. 10.1029/2023WR034512
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- Article