Publication

Parametric Estimation For Functional Autoregressive Processes On The Sphere

2022
Journal paper

Abstract

The aim of this paper is to define a nonlinear least squares estimator for the spectral parameters of a spherical autoregressive process of order 1 in a parametric setting. Furthermore, we investigate on its asymptotic properties, such as weak consistency and asymptotic normality.

Official source

https://infoscience.epfl.ch/record/294653?ln=en

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Parametric Estimation For Functional Autoregressive Processes On The Sphere

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