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Pré-Publication, Document De Travail Année : 2014

Modeling processes asymmetries with Laplace Moving Average.

Résumé

Many records in environmental science exhibit asymmetries: for example in shallow water and with variable bathymetry, the sea wave time series shows front-back asymmetries and different shapes for crests and troughs. In such situation, numerical models are available but are highly CPU-time consuming. A stochastic process aimed at modeling such asymmetries has already been proposed, the Laplace Moving Average process. The objective of this study is to propose a new estimator of the defining function in a non-parametric approach. Results based on a comprehensive numerical study will be shown in order to evaluate the performances of the proposed method.
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Dates et versions

hal-00951767 , version 1 (25-02-2014)

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  • HAL Id : hal-00951767 , version 1

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Nicolas Raillard, Marc Prevosto, Pierre Ailliot. Modeling processes asymmetries with Laplace Moving Average.. 2014. ⟨hal-00951767⟩
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