International audienceWe consider tests for serial independence of arbitrary finite order for the innovations in vector autoregressive models. The tests are expressed as L2-type criteria involving the difference of the joint empirical characteristic function and the product of corresponding marginals. Asymptotic as well as Monte-Carlo results are presented
In the context of allocation models with vector autoregressive errors we propose a convenient proced...
The aim of this paper is to construct a class of locally asymptotically most stringent (in the Le Ca...
AbstractMultivariate autoregressive models with exogenous variables (VARX) are often used in econome...
A popular class of tests for simple autoregressive processes is considered in the context of the err...
We consider tests of serial independence for a sequence of functional observations. The new methods ...
AbstractMultivariate autoregressive models with exogenous variables (VARX) are often used in econome...
Dans ce travail, nous proposons une généralisation au cas multivarié de l'approche de Hong (1996) af...
This thesis deals with tests of independence for time series of identically distributed Poisson rand...
In the application of autoregressive models the order of the model is often estimated using either a...
Abstract. The classical theory of rank-based inference is essentially limited to univariate linear m...
This thesis deals with tests of serial independence for functional time series. The first part of th...
International audienceA nonparametric test of the mutual independence between many numerical random ...
AbstractA nonparametric test of the mutual independence between many numerical random vectors is pro...
A test for serial independence of regression errors, consistent in the direction of first order alte...
A test for serial independence of regression errors, consistent in the direction of first order alte...
In the context of allocation models with vector autoregressive errors we propose a convenient proced...
The aim of this paper is to construct a class of locally asymptotically most stringent (in the Le Ca...
AbstractMultivariate autoregressive models with exogenous variables (VARX) are often used in econome...
A popular class of tests for simple autoregressive processes is considered in the context of the err...
We consider tests of serial independence for a sequence of functional observations. The new methods ...
AbstractMultivariate autoregressive models with exogenous variables (VARX) are often used in econome...
Dans ce travail, nous proposons une généralisation au cas multivarié de l'approche de Hong (1996) af...
This thesis deals with tests of independence for time series of identically distributed Poisson rand...
In the application of autoregressive models the order of the model is often estimated using either a...
Abstract. The classical theory of rank-based inference is essentially limited to univariate linear m...
This thesis deals with tests of serial independence for functional time series. The first part of th...
International audienceA nonparametric test of the mutual independence between many numerical random ...
AbstractA nonparametric test of the mutual independence between many numerical random vectors is pro...
A test for serial independence of regression errors, consistent in the direction of first order alte...
A test for serial independence of regression errors, consistent in the direction of first order alte...
In the context of allocation models with vector autoregressive errors we propose a convenient proced...
The aim of this paper is to construct a class of locally asymptotically most stringent (in the Le Ca...
AbstractMultivariate autoregressive models with exogenous variables (VARX) are often used in econome...