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Title: Semi-parametric estimation for max-mixture spatial processes Authors:  Pierre Ribereau - Université Lyon 1 (France) [presenting]
Abstract: A semi-parametric estimation procedure is proposed in order to estimate the parameters of a max-mixture model as an alternative to composite likelihood estimation. This procedure uses the F-madogram. We propose to minimize the square difference between the theoretical F-madogram and an empirical one. We evaluate the performance of this estimator through a simulation study and we compare our method to composite likelihood estimation. We apply our estimation procedure to daily rainfall data from East Australia.