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http://hdl.handle.net/2122/15186
Authors: | Taroni, Matteo* Vocalelli, Giorgio* De Polis, Andrea* |
Title: | Gutenberg–Richter B-Value Time Series Forecasting: A Weighted Likelihood Approach | Journal: | Forecasting | Series/Report no.: | /3 (2021) | Publisher: | MDPI | Issue Date: | 2021 | DOI: | 10.3390/forecast3030035 | URL: | https://www.mdpi.com/2571-9394/3/3/35 | 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. |
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