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Hauptverfasser: Bosserhoff, Frank, Francisci, Giacomo, Stelzer, Robert
Format: Preprint
Veröffentlicht: 2026
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2603.06062
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author Bosserhoff, Frank
Francisci, Giacomo
Stelzer, Robert
author_facet Bosserhoff, Frank
Francisci, Giacomo
Stelzer, Robert
contents Continuous-time autoregressive and moving average (CARMA) models are extensively used to model high-frequency and irregularly sampled data. We study Whittle estimation for the model parameters when the process is observed at renewal times. The driving noise is assumed to be a Lévy process allowing for more flexibility including heavy-tailed marginal distributions and jumps in the sample paths. We show that the Whittle estimator based on the integrated periodogram is consistent and asymptotically normal under very mild conditions. To obtain these results, we establish the asymptotic normality of the integrated periodogram.
format Preprint
id arxiv_https___arxiv_org_abs_2603_06062
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Estimation of Lévy-driven CARMA models under renewal sampling
Bosserhoff, Frank
Francisci, Giacomo
Stelzer, Robert
Statistics Theory
62F12, 62M15
Continuous-time autoregressive and moving average (CARMA) models are extensively used to model high-frequency and irregularly sampled data. We study Whittle estimation for the model parameters when the process is observed at renewal times. The driving noise is assumed to be a Lévy process allowing for more flexibility including heavy-tailed marginal distributions and jumps in the sample paths. We show that the Whittle estimator based on the integrated periodogram is consistent and asymptotically normal under very mild conditions. To obtain these results, we establish the asymptotic normality of the integrated periodogram.
title Estimation of Lévy-driven CARMA models under renewal sampling
topic Statistics Theory
62F12, 62M15
url https://arxiv.org/abs/2603.06062