On local asymptotic normality for functional autoregressive processes

We establish Local Asymptotic Normality (LAN) and Uniform Local Asymptotic Normality (ULAN) conditions for a class of function space valued autoregressive processes when the correlation operator depends on an unknown one-dimensional parameter. We then derive Hajek minimax bound, consistency, asympto...

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Veröffentlicht in:Journal of multivariate analysis 2016-06, Vol.148, p.120-140
Hauptverfasser: Kara-Terki, Nesrine, Mourid, Tahar
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description We establish Local Asymptotic Normality (LAN) and Uniform Local Asymptotic Normality (ULAN) conditions for a class of function space valued autoregressive processes when the correlation operator depends on an unknown one-dimensional parameter. We then derive Hajek minimax bound, consistency, asymptotic normality and efficiency of the conditional maximum likelihood estimator yielding their optimality. A simulation studies illustrate the performance of the estimators.
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subjects Asymptotic methods
Correlation analysis
Efficiency
Functional autoregressive processes
Hajek bound
Local asymptotic normality
Maximum likelihood estimator
Maximum likelihood method
Parameter estimation
Regression analysis
Studies
Topology
title On local asymptotic normality for functional autoregressive processes
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