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Bivariate extreme statistics, I

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  • Masaaki Sibuya

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  • Masaaki Sibuya, 1959. "Bivariate extreme statistics, I," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 11(2), pages 195-210, June.
    • Handle: RePEc:spr:aistmt:v:11:y:1959:i:2:p:195-210
    DOI: 10.1007/BF01682329
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    Cited by:

    1. Tiwari, Aviral Kumar & Trabelsi, Nader & Alqahtani, Faisal & Raheem, Ibrahim D., 2020. "Systemic risk spillovers between crude oil and stock index returns of G7 economies: Conditional value-at-risk and marginal expected shortfall approaches," Energy Economics, Elsevier, vol. 86(C).
    2. Echaust, Krzysztof, 2021. "Asymmetric tail dependence between stock market returns and implied volatility," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
    3. Monica Billio & Lorenzo Frattarolo & Dominique Guegan, 2017. "Multivariate Reflection Symmetry of Copula Functions," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01592147, HAL.
    4. Markus Haas, 2018. "A note on the absolute moments of the bivariate normal distribution," Economics Bulletin, AccessEcon, vol. 38(1), pages 650-656.
    5. Matias Heikkila & Yves Dominicy & Sirkku Pauliina Ilmonen, 2015. "Multivariate extremes based on a notion of radius," Working Papers ECARES ECARES 2015-49, ULB -- Universite Libre de Bruxelles.
    6. Moore, Kyle & Zhou, Chen, 2013. ""Too big to fail" or "Too non-traditional to fail"?: The determinants of banks' systemic importance," MPRA Paper 45589, University Library of Munich, Germany.
    7. Qin, Xiao & Zhou, Chunyang, 2019. "Financial structure and determinants of systemic risk contribution," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    8. Russell Brook T. & Hogan Paul, 2018. "Analyzing dependence matrices to investigate relationships between national football league combine event performances," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 14(4), pages 201-212, December.
    9. Brook T. Russell & Whitney K. Huang, 2021. "Modeling short‐ranged dependence in block extrema with application to polar temperature data," Environmetrics, John Wiley & Sons, Ltd., vol. 32(3), May.
    10. Tsai, Ming-Tien & Sen, Pranab Kumar, 2010. "Entropy based constrained inference for some HDLSS genomic models: UI tests in a Chen-Stein perspective," Journal of Multivariate Analysis, Elsevier, vol. 101(7), pages 1559-1573, August.
    11. Hofert, Marius & Vrins, Frédéric, 2013. "Sibuya copulas," Journal of Multivariate Analysis, Elsevier, vol. 114(C), pages 318-337.
    12. Sen, Pranab K. & Kang, Moonsu, 2013. "Bivariate high-level exceedance and the Chen–Stein theorem in genomics multiple hypothesis testing perspectives," Statistics & Probability Letters, Elsevier, vol. 83(7), pages 1725-1730.
    13. Dalia Ghanem & D'esir'e K'edagni & Ismael Mourifi'e, 2023. "Evaluating the Impact of Regulatory Policies on Social Welfare in Difference-in-Difference Settings," Papers 2306.04494, arXiv.org, revised Jun 2023.
    14. Victor Chernozhukov & Ivan Fernandez-Val & Siyi Luo, 2023. "Distribution regression with sample selection and UK wage decomposition," CeMMAP working papers 09/23, Institute for Fiscal Studies.
    15. Moore, Kyle & Zhou, Chen, 2014. "The determinants of systemic importance," LSE Research Online Documents on Economics 59289, London School of Economics and Political Science, LSE Library.
    16. Victor Chernozhukov & Iv'an Fern'andez-Val & Siyi Luo, 2018. "Distribution Regression with Sample Selection, with an Application to Wage Decompositions in the UK," Papers 1811.11603, arXiv.org, revised Dec 2023.
    17. Furman, Edward & Kuznetsov, Alexey & Su, Jianxi & Zitikis, Ričardas, 2016. "Tail dependence of the Gaussian copula revisited," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 97-103.
    18. Yang, Xipei & Frees, Edward W. & Zhang, Zhengjun, 2011. "A generalized beta copula with applications in modeling multivariate long-tailed data," Insurance: Mathematics and Economics, Elsevier, vol. 49(2), pages 265-284, September.
    19. Huang, J.S. & Dou, Xiaoling & Kuriki, Satoshi & Lin, G.D., 2013. "Dependence structure of bivariate order statistics with applications to Bayramoglu’s distributions," Journal of Multivariate Analysis, Elsevier, vol. 114(C), pages 201-208.
    20. Tankov, Peter, 2016. "Tails of weakly dependent random vectors," Journal of Multivariate Analysis, Elsevier, vol. 145(C), pages 73-86.
    21. Zhang, Zhengjun & Zhu, Bin, 2016. "Copula structured M4 processes with application to high-frequency financial data," Journal of Econometrics, Elsevier, vol. 194(2), pages 231-241.

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