Novel robust time series analysis for long-term and short-term prediction

Abstract Nonlinear phenomena are universal in ecology. However, their inference and prediction are generally difficult because of autocorrelation and outliers. A traditional least squares method for parameter estimation is capable of improving short-term prediction by estimating autocorrelation, whe...

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Autores principales: Hiroshi Okamura, Yutaka Osada, Shota Nishijima, Shinto Eguchi
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/894b93dc70be47c9b2221d800da7711f
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