The information matrix is parametrized in terms of excess expected shortfall and shape
gpde.infomat(par, dat, m, method = c("obs", "exp"), nobs = length(dat))
vector of length 2 containing \(e_m\) and \(\xi\), respectively the expected shortfall at probability 1/(1-\(\alpha\)) and the shape parameter.
sample vector
number of observations of interest for return levels. See Details
string indicating whether to use the expected ('exp'
) or the observed ('obs'
- the default) information matrix.
number of observations
gpde