Introduces a penalized least squares estimator with pseudo-norm penalization for parametric extreme-value mixture models and a data-driven algorithm to identify extreme directions.
Likelihood-based inference for max-stable processes.Journal of the American Statistical Association, 105(489): 263–277, 2010
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A penalized least squares estimator for extreme-value mixture models
Introduces a penalized least squares estimator with pseudo-norm penalization for parametric extreme-value mixture models and a data-driven algorithm to identify extreme directions.