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 |
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container_title | Journal of multivariate analysis |
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creator | Kara-Terki, Nesrine Mourid, Tahar |
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. |
doi_str_mv | 10.1016/j.jmva.2016.02.017 |
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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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