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Number Cited by Other Article(s)
1
Statistical analysis for stationary time series at extreme levels: New estimators for the limiting cluster size distribution. Stoch Process Their Appl 2022. [DOI: 10.1016/j.spa.2022.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
2
Cissokho Y, Kulik R. Estimation of cluster functionals for regularly varying time series: Runs estimators. Electron J Stat 2022. [DOI: 10.1214/22-ejs2026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
3
Bücher A, Zhou C. A Horse Race between the Block Maxima Method and the Peak–over–Threshold Approach. Stat Sci 2021. [DOI: 10.1214/20-sts795] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
4
Drees H, Neblung S. Asymptotics for sliding blocks estimators of rare events. BERNOULLI 2021. [DOI: 10.3150/20-bej1272] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
5
Zou N, Volgushev S, Bücher A. Multiple block sizes and overlapping blocks for multivariate time series extremes. Ann Stat 2021. [DOI: 10.1214/20-aos1957] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
6
Cissokho Y, Kulik R. Estimation of cluster functionals for regularly varying time series: sliding blocks estimators. Electron J Stat 2021. [DOI: 10.1214/21-ejs1843] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
7
Gomes DP, Neves MM. Extremal index blocks estimator: the threshold and the block size choice. J Appl Stat 2020;47:2846-2861. [DOI: 10.1080/02664763.2020.1720626] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
8
Bücher A, Jennessen T. Method of moments estimators for the extremal index of a stationary time series. Electron J Stat 2020. [DOI: 10.1214/20-ejs1734] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
9
Berghaus B, Bücher A. Weak convergence of a pseudo maximum likelihood estimator for the extremal index. Ann Stat 2018. [DOI: 10.1214/17-aos1621] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
10
Ferreira H, Ferreira M. Estimating the extremal index through local dependence. ANNALES DE L'INSTITUT HENRI POINCARÉ, PROBABILITÉS ET STATISTIQUES 2018. [DOI: 10.1214/16-aihp815] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
11
Bücher A, Segers J. Inference for heavy tailed stationary time series based on sliding blocks. Electron J Stat 2018. [DOI: 10.1214/18-ejs1415] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
12
Martins AP, Sebastião JR. Methods for estimating the upcrossings index: improvements and comparison. Stat Pap (Berl) 2017. [DOI: 10.1007/s00362-017-0876-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
13
Davis RA, Mikosch T, Zhao Y. Measures of serial extremal dependence and their estimation. Stoch Process Their Appl 2013. [DOI: 10.1016/j.spa.2013.03.014] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
14
Robert CY. Automatic declustering of rare events. Biometrika 2013. [DOI: 10.1093/biomet/ast013] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]  Open
15
Tang R, Shao J, Zhang Z. Sparse moving maxima models for tail dependence in multivariate financial time series. J Stat Plan Inference 2013. [DOI: 10.1016/j.jspi.2012.11.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
16
Sebastião JR, Martins AP, Ferreira H, Pereira L. Estimating the upcrossings index. TEST-SPAIN 2013. [DOI: 10.1007/s11749-013-0315-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
17
Bertail P, Clémençon S, Tressou J. Regenerative block-bootstrap confidence intervals for tail and extremal indexes. Electron J Stat 2013. [DOI: 10.1214/13-ejs807] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
18
Subsampling weakly dependent time series and application to extremes. TEST-SPAIN 2011. [DOI: 10.1007/s11749-011-0269-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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