On the likelihood function of Gaussian max-stable processes
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abstract
We derive a closed form expression for the likelihood function of a Gaussian max-stable process indexed by d at pd+1 sites, d1. We demonstrate the gain in efficiency in the maximum composite likelihood estimators of the covariance matrix from p=2 to p=3 sites in 2 by means of a Monte Carlo simulation study. 2011 Biometrika Trust.