Extreme value analysis for the sample covariance matrices of heavy-tailed multivariate time series

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Standard

Extreme value analysis for the sample covariance matrices of heavy-tailed multivariate time series. / Davis, Richard ; Heiny, Johannes; Mikosch, Thomas Valentin; Xie, Xiaolei.

I: Extremes, Bind 19, Nr. 3, 2016, s. 517-547.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Davis, R, Heiny, J, Mikosch, TV & Xie, X 2016, 'Extreme value analysis for the sample covariance matrices of heavy-tailed multivariate time series', Extremes, bind 19, nr. 3, s. 517-547. https://doi.org/10.1007/s10687-016-0251-7

APA

Davis, R., Heiny, J., Mikosch, T. V., & Xie, X. (2016). Extreme value analysis for the sample covariance matrices of heavy-tailed multivariate time series. Extremes, 19(3), 517-547. https://doi.org/10.1007/s10687-016-0251-7

Vancouver

Davis R, Heiny J, Mikosch TV, Xie X. Extreme value analysis for the sample covariance matrices of heavy-tailed multivariate time series. Extremes. 2016;19(3):517-547. https://doi.org/10.1007/s10687-016-0251-7

Author

Davis, Richard ; Heiny, Johannes ; Mikosch, Thomas Valentin ; Xie, Xiaolei. / Extreme value analysis for the sample covariance matrices of heavy-tailed multivariate time series. I: Extremes. 2016 ; Bind 19, Nr. 3. s. 517-547.

Bibtex

@article{34fb98c747c24b808a288dea8306a299,
title = "Extreme value analysis for the sample covariance matrices of heavy-tailed multivariate time series",
author = "Richard Davis and Johannes Heiny and Mikosch, {Thomas Valentin} and Xiaolei Xie",
year = "2016",
doi = "10.1007/s10687-016-0251-7",
language = "English",
volume = "19",
pages = "517--547",
journal = "Extremes",
issn = "1386-1999",
publisher = "Springer",
number = "3",

}

RIS

TY - JOUR

T1 - Extreme value analysis for the sample covariance matrices of heavy-tailed multivariate time series

AU - Davis, Richard

AU - Heiny, Johannes

AU - Mikosch, Thomas Valentin

AU - Xie, Xiaolei

PY - 2016

Y1 - 2016

U2 - 10.1007/s10687-016-0251-7

DO - 10.1007/s10687-016-0251-7

M3 - Journal article

VL - 19

SP - 517

EP - 547

JO - Extremes

JF - Extremes

SN - 1386-1999

IS - 3

ER -

ID: 167520063