A continuous updating weighted least squares estimator of tail dependence in high dimensions
John Einmahl,
Anna Kiriliouk and
Johan Segers
No 2018019, LIDAM Reprints ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)
Date: 2018-01-01
Note: In : Extremes : statistical theory and applications in science, engineering and economics, vol. 21, no. 2, p. 205-233 (2018)
References: Add references at CitEc
Citations: View citations in EconPapers (13)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Working Paper: A continuous updating weighted least squares estimator of tail dependence in high dimensions (2016)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aiz:louvar:2018019
Access Statistics for this paper
More papers in LIDAM Reprints ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) Voie du Roman Pays 20, 1348 Louvain-la-Neuve (Belgium). Contact information at EDIRC.
Bibliographic data for series maintained by Nadja Peiffer ().