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Gutenberg–Richter b-value time series forecasting : a weighted likelihood approach

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Taroni, Matteo, Vocalelli, Giorgio and De Polis, Andrea (2021) Gutenberg–Richter b-value time series forecasting : a weighted likelihood approach. Forecasting, 3 (3). pp. 561-569. doi:10.3390/forecast3030035 ISSN 2571-9394.

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Official URL: https://doi.org/10.3390/forecast3030035

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Abstract

We introduce a novel approach to estimate the temporal variation of the b-value parameter of the Gutenberg–Richter law, based on the weighted likelihood approach. This methodology allows estimating the b-value based on the full history of the available data, within a data-driven setting. We test this methodology against the classical “rolling window” approach using a high-definition Italian seismic catalogue as well as a global catalogue of high magnitudes. The weighted likelihood approach outperforms competing methods, and measures the optimal amount of past information relevant to the estimation.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Q Science > QE Geology
Divisions: Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH): Earthquake prediction -- Statistical methods, Time-series analysis, Seismology -- Statistical methods
Journal or Publication Title: Forecasting
Publisher: MDPI
ISSN: 2571-9394
Official Date: 6 August 2021
Dates:
DateEvent
6 August 2021Published
29 July 2021Accepted
15 June 2021Submitted
Volume: 3
Number: 3
Page Range: pp. 561-569
DOI: 10.3390/forecast3030035
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 23 August 2022
Date of first compliant Open Access: 23 August 2022

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