Citations (8)
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Ting Zhang & Beibei Xu. (2023) Tail Spectral Density Estimation and Its Uncertainty Quantification: Another Look at Tail Dependent Time Series Analysis. Journal of the American Statistical Association 0:0, pages 1-10.
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Yingyin Lu, Xin Liao & Jinhui Guo. (2023) Higher-order expansions of sample range from general error distribution. Communications in Statistics - Theory and Methods 0:0, pages 1-21.
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Yuhan Zou, Yingyin Lu & Zuoxiang Peng. (2023) Rates of convergence of powered order statistics from general error distribution. Statistical Theory and Related Fields 7:1, pages 1-29.
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Zhengjun Zhang. (2021) Rejoinder of “On studying extreme values and systematic risks with nonlinear time series models and tail dependence measures”. Statistical Theory and Related Fields 5:1, pages 45-48.
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Articles from other publishers (4)
Matheus B. GuerreroRaphaël HuserHernando Ombao. (2023) Conex–Connect: Learning patterns in extremal brain connectivity from MultiChannel EEG data. The Annals of Applied Statistics 17:1.
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Chinelo Ifeyinwa Nwaibe, Joseph Ugochukwu Ogbuefi & Idu Robert Egbenta. (2022) Organizational Learning and Risk Management Maturity: Systematic and Meta-Analyses Approach. Business Ethics and Leadership 6:3, pages 68-76.
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Guanqi Fang & Rong Pan. (2021) On multivariate copula modeling of dependent degradation processes. Computers & Industrial Engineering 159, pages 107450.
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Zhengjun Zhang. (2021) Five Critical Genes Related to Seven COVID-19 Subtypes: A Data Science Discovery. Journal of Data Science, pages 142-150.
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