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Listar por palabra clave "Non-Gaussian"

Mostrando ítems 1-5 de 5

A coupled stochastic inverse-management framework for dealing with nonpoint agriculture pollution under groundwater parameter uncertainty

Llopis Albert, Carlos; Palacios Marqués, Daniel; Merigó, José M. (Elsevier, 2014-04-16)

In this paper a methodology for the stochastic management of groundwater quality problems is presented, which can be used to provide agricultural advisory services. A stochastic algorithm to solve the coupled flow and mass ...
An Approach to Handling Non-Gaussianity of Parameters and State Variables in Ensemble Kalman Filtering

Zhou ., Haiyan; Gómez-Hernández, J. Jaime; Hendricks Franssen, Hendrikus Johannes W; Li, Liangping (ELSEVIER SCI LTD, 2011)

[EN] The ensemble Kalman filter (EnKF) is a commonly used real-time data assimilation algorithm in various disciplines. Here, the EnKF is applied, in a hydrogeological context, to condition log-conductivity realizations ...
Generalized matched subspace filter for dependent noise based on ICA

Moragues Escrivá, Jorge; Vergara Domínguez, Luís; Gosálbez Castillo, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2011-07)

We propose a generalization of the matched subspace filter for the detection of unknown signals in a background of non-Gaussian and nonindependent noise. The generalization is based on a modification of the Rao test by ...
Probability fields revisited in the context of ensemble Kalman filtering

Xu, Teng; Gómez-Hernández, J. Jaime (Elsevier, 2015-12)

Hu et al. (2013) proposed an approach to update complex geological fades models generated by multiple-point geostatistical simulation while keeping geological and statistical consistency. Their approach is based on mapping ...
Stochastic Identification of Pollutant Sources in Aquifers by the Ensemble Kalman Filter

Chen, Zi (Universitat Politècnica de València, 2021-02-01)

[ES] Como parte de los métodos de asimilacíon de datos, los métodos basados en conjuntos han ganado popularidad en hidrogeología dada su capacidad para manejar grandes cantidades de datos observados simultáneamente. ...