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[PDF] Top 20 A Generalized Convolution Model and Estimation for Non-stationary Random Functions

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A Generalized Convolution Model and Estimation for Non-stationary Random Functions

A Generalized Convolution Model and Estimation for Non-stationary Random Functions

... some non-stationary covariance functions class that include a non-stationary version of the stationary Mat´ern covariance function have been introduced by Paciorek ... Voir le document complet

25

Estimation of Space Deformation Model for Non-stationary Random Functions

Estimation of Space Deformation Model for Non-stationary Random Functions

... Abstract Stationary Random Functions have been successfully applied in geostatistical applications for ...of a homogeneous spatial dependence structure across the entire domain of ... Voir le document complet

18

Estimating return levels from maxima of non-stationary random sequences using the Generalized PWM method

Estimating return levels from maxima of non-stationary random sequences using the Generalized PWM method

... (1985) and their collaborators, the Probability Weighted Moments (PWM) method has been very popular, simple and efficient to estimate the parameters of the Generalized Extreme Value (GEV) ... Voir le document complet

8

Standard and robust intensity parameter estimation for stationary determinantal point processes

Standard and robust intensity parameter estimation for stationary determinantal point processes

... the random locations of some event of interest which arise in many scientific fields such as biology, epidemiology, seismology and ...Møller and Waagepetersen (2004) for an overview on spatial ... Voir le document complet

22

SAR Amplitude Probability Density Function Estimation Based on a Generalized Gaussian Model

SAR Amplitude Probability Density Function Estimation Based on a Generalized Gaussian Model

... Function Estimation Based on a Generalized Gaussian Model Gabriele Moser, Member, IEEE, Josiane Zerubia, Fellow, IEEE, and Sebastiano ...models for the statistics of the pixel ... Voir le document complet

15

Ground States for a Stationary Mean-Field Model for a Nucleon

Ground States for a Stationary Mean-Field Model for a Nucleon

... functional F is not bounded from below. So, trying to find solutions of (1.6) which minimize the energy F is hopeless and the definition of ground states for (1.6) based on this functional is not clear. In ... Voir le document complet

15

SAR amplitude probability density function estimation based on a generalized Gaussian scattering model

SAR amplitude probability density function estimation based on a generalized Gaussian scattering model

... Unité de recherche INRIA Sophia Antipolis 2004, route des Lucioles - BP 93 - 06902 Sophia Antipolis Cedex France Unité de recherche INRIA Lorraine : LORIA, Technopôle de Nancy-Brabois - [r] ... Voir le document complet

39

On a Convolution Operator Arising in a Double Porosity Model

On a Convolution Operator Arising in a Double Porosity Model

... of a contaminant through a naturally fractured porous ...connected and too numerous to be modeled indi- ...fractures and vanishes after a certain time. Thus, in a first stage, ... Voir le document complet

20

Brownian motion on stationary random manifolds

Brownian motion on stationary random manifolds

... properties, and how they relate to the behavior of Brownian ...influence for this part of our work are the two very rich papers of Kaimanovich, [Ka˘ı86] and ...entropy for random walks ... Voir le document complet

113

GENFIELD: A parallel software for the generation of stationary Gaussian random fields

GENFIELD: A parallel software for the generation of stationary Gaussian random fields

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ... Voir le document complet

2

Multidimensional inequalities and generalized quantile functions

Multidimensional inequalities and generalized quantile functions

... the generalized Yaari dual theory for multidimen- sional distributions, in the vein of Galichon and Henry’s paper ...how a class of generalized quantiles -which encompasses Galichon ... Voir le document complet

30

A Programmable Model for Designing Stationary 2D Arrangements

A Programmable Model for Designing Stationary 2D Arrangements

... predictable and controllable results. However the interaction scheme oered by a programming language is not suitable for non- ...programmers. A way to broaden the audience of our ... Voir le document complet

29

Stationary IPA estimates for non-smooth functions of the GI/G/1/infini workload

Stationary IPA estimates for non-smooth functions of the GI/G/1/infini workload

... Ñ"ÎåäHæIçèHéŸêYë ÓNÍÐBΓÑwÒ àWÏbìIÑԓϨãxÑ"Î#äHíçîtïWð èNéwêwëNñÜ#ÝÑwÒ ÑïÁÏòÎ#ÓÒ Ñ"ӌâSóÓNÒ[ӝãxÑwÔ ÑwÒϨÍBÔ ÝÑϨÍÔ ÑwÒgàHӌâôõ ö0Î Î Û ãxÑ2Ô ÝÓNÔ«× ÷Uøí«î“ïQðùú× ÷UøSæ çxû&üýþ ñNÜ ÝÑwÒ [r] ... Voir le document complet

33

A Generalized Digraph Model for Expressing Dependencies

A Generalized Digraph Model for Expressing Dependencies

... job for each task. The classic periodic task model, presented by Liu and Layland [16] characterizes a task by its worst-case execution time C and its activation period P ...task ... Voir le document complet

12

Nonparametric estimation of covariance functions by model selection

Nonparametric estimation of covariance functions by model selection

... obtained a model selection procedure which enables to recover the best covariance model among a given ...requires a large number of replications N with respect to the number of ... Voir le document complet

35

Moderate deviations for stationary sequences of bounded random variables

Moderate deviations for stationary sequences of bounded random variables

... process, and holds for a larger class of dependent random variables than the large deviation ...Acosta and Chen (1998) used the renewal theory to derive the MDP for bounded ... Voir le document complet

28

Parameter estimation for multivariate generalized Gaussian distributions

Parameter estimation for multivariate generalized Gaussian distributions

... multivariate generalized Gaussian distributions using the maximum likelihood ...method. For any shape param- eter , we have proved that the maximum likelihood estimator of the scatter matrix exists ... Voir le document complet

13

Study of a pseudo-stationary state for a corrosion model: existence and numerical approximation

Study of a pseudo-stationary state for a corrosion model: existence and numerical approximation

... concept for long term storage of high- level radioactive waste in France under study is based on an underground ...in a glass matrix and then placed into cylindrical steel ...at a depth of ... Voir le document complet

28

A State-Space Model for the Dynamic Random Subgraph Model

A State-Space Model for the Dynamic Random Subgraph Model

... many random graph models have been pro- posed to extract information from ...look for groups of vertices with homogenous connection ...suitable for static networks and can handle different ... Voir le document complet

7

Conceptual model uncertainty in groundwater modeling: Combining generalized likelihood uncertainty estimation and Bayesian model averaging

Conceptual model uncertainty in groundwater modeling: Combining generalized likelihood uncertainty estimation and Bayesian model averaging

... alternative conceptual models and the Bayesian model averaging BMA based on the 31... Gaussian likelihood function: a west boundary condition WBC inflows, b recharge.[r] ... Voir le document complet

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