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Dimension reduction techniques for functional data analysis model and approximate smooth random functions by lower dimensional objects. In many applications the focus of interest lies not only in dimension reduction but also in the dynamic behaviour of the lower dimensional objects. The most...
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with the estimation from the simulated process, though the BC method shows smaller deviations in case of high interest rate …
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-Gaussian dependency structures with a small number of parameters. In this paper we develop a novel adaptive estimation technique of the … ; Archimedean copula ; adaptive estimation …
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