The purpose of the present paper is to investigate a class of spherical functional autoregressive processes in order to introduce and study LASSO (Least Absolute Shrinkage and Selection Operator) type estimators for the corresponding autoregressive kernels, defined in the harmonic domain by means of their spectral decompositions. Some crucial properties for these estimators are proved, in particular, consistency and oracle inequalities. (C) 2021 Elsevier B.V. All rights reserved.

Caponera, A., Durastanti, C., Vidotto, A. (2021). LASSO estimation for spherical autoregressive processes. STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 137, 167-199 [10.1016/j.spa.2021.03.009].

LASSO estimation for spherical autoregressive processes

Caponera, A;
2021

Abstract

The purpose of the present paper is to investigate a class of spherical functional autoregressive processes in order to introduce and study LASSO (Least Absolute Shrinkage and Selection Operator) type estimators for the corresponding autoregressive kernels, defined in the harmonic domain by means of their spectral decompositions. Some crucial properties for these estimators are proved, in particular, consistency and oracle inequalities. (C) 2021 Elsevier B.V. All rights reserved.
Articolo in rivista - Articolo scientifico
Spherical functional autoregressions; LASSO method; Kernel estimation; Stability; Consistency; Oracle inequalities
English
2021
137
167
199
none
Caponera, A., Durastanti, C., Vidotto, A. (2021). LASSO estimation for spherical autoregressive processes. STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 137, 167-199 [10.1016/j.spa.2021.03.009].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/410981
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