Generalizations of the Hill estimator – asymptotic versus finite sample behaviour☆
By M. Ivette Gomes, M. J. Martins. 2001
79 citations recorded by the source corpus.
Subfields: Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/b948e08dc1510f93f6761796c415672604c37f41
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Stéphane Girard
- Laurent Gardes
- Jan Beirlant
- M. Ivette Gomes
- Lígia Henriques Rodrigues
- Laurens de Haan
- M. I. Fraga Alves
- B. Vandewalle
In Statistics and Probability
- Laurent Gardes
- Stéphane Girard
- M. Ivette Gomes
- B. Vandewalle
- Lígia Henriques Rodrigues
- Laurens de Haan
- Jan Beirlant
- Fernanda Otilia Figueiredo
Citations in the corpus
- Functional kernel estimators of large conditional quantiles (2011, background): “For instance, the estimator introduced by [32], equation (2.”
- Tail index estimation for heavy‐tailed models: accommodation of bias in weighted log‐excesses (2007, background): “Different approaches to reduced bias tail index estimation, which are related to specifically built classes of estimators, have been developed in Gomes and Martins (2001), Caeiro and Gomes (2002) and Gomes et al. (2004).”
- Improved reduced-bias tail index and quantile estimators (2008, background): “Gomes and Figueiredo (2003) suggest the use, in (1.2), of the reduced bias tail index estimators in Gomes and Martins (2001, 2002) and Gomes et al. (2004a), all of them second order reduced bias estimators with asymptotic variance σ2R > γ 2.”
- A new class of semi-parametric estimators of the second order parameter. (2003, methodology): “Some of the papers in this area are the ones by Beirlant et al. [3], Feuerverger and Hall [8], Gomes and Martins ([ 12 ], [13]) and Gomes et al. [15].”