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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Bibliographic Details
Main Authors: Hiroshi Okamura, Yutaka Osada, Shota Nishijima, Shinto Eguchi
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-91327-8