Parameter estimation for fractional autoregressive process with seasonal structure
This paper introduces a new kind of seasonal fractional autoregressive process (SFAR) driven by fractional Gaussian noise (fGn). The new model includes a standard seasonal AR model and fGn. The estimation of the parameters of this new model has to solve two problems: nonstationarity from the seasona...
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Published in | Statistical theory and related fields pp. 1 - 30 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Taylor & Francis Group
05.08.2025
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Subjects | |
Online Access | Get full text |
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