Integral of the bivariate empirical stable tail dependence function over the unit square.
Usage
tailIntEmp(ranks, n = nrow(ranks), k)
Arguments
ranks
A n x 2 matrix, where each column is a permutation of the integers 1:n, representing the ranks computed from a sample of size n.
n
The sample size. If not specified, it is computed as the number of rows of the matrix ranks.
k
The threshold parameter in the definition of the empirical stable tail dependence function. An integer between 1 and n-1.
Value
A scalar.
Details
This is an analytic implementation of the integral of the stable tail dependence function,
which is much faster than numerical integration.
See Einmahl et al. (2014) for a definition of the empirical stable tail dependence function.
References
Einmahl, J.H.J., Kiriliouk, A., Krajina, A. and Segers, J. (2014), "An M-estimator of spatial tail dependence". See http://arxiv.org/abs/1403.1975.