scholarly journals Archimedean copula estimation using Bayesian splines smoothing techniques

2007 ◽  
Vol 51 (12) ◽  
pp. 6307-6320 ◽  
Author(s):  
Philippe Lambert
2021 ◽  
Vol 2 (3) ◽  
pp. 52-60
Author(s):  
N. Idiou ◽  
F. Benatia

In this paper, we look at two different approaches methodologies for copula estimation. The first is based on a parametric approach using MLE and IFM methods, while the second is entirely based on Kendall's tau and spearman's rho in a semi-parametric context, where the margins are estimated non-parametrically. Interestingly, based on R software simulation techniques, the contribution of their algorithms, approach, and illustration was our main focus for this paper. As an application, a class of Archimedean copulas was notably chosen. This particular class of copulas was also presented for censored data to show the estimator's performance even better.


2017 ◽  
Vol 38 (4) ◽  
pp. 619-625
Author(s):  
Ayşe METIN KARAKAS ◽  
Murat KARAKAS ◽  
Mine DOGAN

1985 ◽  
Vol 16 (1) ◽  
pp. 29-34 ◽  
Author(s):  
W.J.M. Gerver ◽  
C.G. v.d. Laan ◽  
N.M. Drayer ◽  
W. Schaafsma

2021 ◽  
Author(s):  
Zhelun Chen ◽  
Jin Wen ◽  
Anthony Kearsley ◽  
Amanda Pertzborn

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