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  1. Research Outputs

Bispectral Analysis of Markov Switching Bilinear Models

Conference Paper
Publication Date:
2025
Short description:
Bispectral Analysis of Markov Switching Bilinear Models / Cavicchioli, M., Ghezal, A., Zemmouri, I.. - (2025), pp. 373-378. (Italian Statistical Society (SIS) 2024 Bari, Italia 17-20 June 2024) [10.1007/978-3-031-64431-3_62].
abstract:
We derive matrix expressions in closed form for the spectral and bispectral densities of Markov switching bilinear models. Under suitable assumptions, we prove that the sample estimators of the spectral and bispectral density matrices are consistent and asymptotically normally distributed. Simulations and empirical applications confirm the validity of the asymptotic properties and the suitability of the proposed methods for the analysis of time series in the frequency domain.
Iris type:
Relazione in Atti di Convegno
List of contributors:
Cavicchioli, Maddalena; Ghezal, Ahmed; Zemmouri, Imane
Authors of the University:
CAVICCHIOLI MADDALENA
Handle:
https://iris.unimore.it/handle/11380/1364200
Full Text:
https://iris.unimore.it//retrieve/handle/11380/1364200/744915/ebookSIS2024.pdf
Book title:
Methodological and Applied Statistics and Demography III
Published in:
ITALIAN STATISTICAL SOCIETY SERIES ON ADVANCES IN STATISTICS
Series
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