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  1. Einmahl, John H. J. [Author]; Yang, Fan [Author]; Chen Zhou [Author]

    Testing the multivariate regular variation model

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    2021

    Published in: Journal of business & economic statistics ; 39(2021), 4, Seite 907-919

  2. Litvinova, Svetlana [Author]; Silvapulle, Mervyn J. [Author]

    Consistency of full-sample bootstrap for estimating high-quantile, tail probability, and tail index

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    [Victoria, Australia]: Monash University, Department of Econometrics and Business Statistics, April 2020

    Published in: Monash University: Working paper ; 2020,15

  3. Litvinova, Svetlana [Author]; Silvapulle, Mervyn J. [Author]

    Bootstrapping tail statistics: tail quantile process, Hill estimator, and confidence intervals for highquantiles of heavy tailed distributions

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    [Victoria, Australia]: Monash University, Department of Econometrics and Business Statistics, August 2018

    Published in: Monash University: Working paper ; 2018,12

  4. Kaibuchi, Hibiki [Author]; Kawasaki, Yoshinori [Author]; Stupfler, G. [Author]

    GARCH-UGH : a bias-reduced approach for dynamic extreme Value-at-Risk estimation in financial time series

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    2022

    Published in: Quantitative finance ; 22(2022), 7, Seite 1277-1294

  5. Schneider, Laura Fee [Author] ; Krajina, Andrea [Degree supervisor]; Krajina, Andrea [Other]; Krivobokova, Tatyana [Other]

    Discrete Parameter Estimation for Rare Events: From Binomial to Extreme Value Distributions

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    Göttingen: Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2019