TransitionsInTimeseries.jl: A performant, extensible and reliable software for reproducible detection and prediction of transitions in timeseries-Reference-Cited by-同舟云学术

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TransitionsInTimeseries.jl: A performant, extensible and reliable software for reproducible detection and prediction of transitions in timeseries

Published:2024-07-13 Issue:99 Volume:9 Page:6464
ISSN:2475-9066
Container-title:Journal of Open Source Software
language:
Short-container-title:JOSS

Author:

Swierczek-Jereczek Jan^ORCID,Datseris George^ORCID

Publisher

The Open Journal

Link

https://joss.theoj.org/papers/10.21105/joss.06464.pdf

Reference9 articles.

1. Changes in environment over the last 800,000 years from chemical analysis of the EPICA Dome C ice core;Wolff;Quaternary Science Reviews,2010

2. Methods for Detecting Early Warnings of Critical Transitions in Time Series Illustrated Using Simulated Ecological Data;Dakos;PLoS ONE,2012

3. Deep learning for early warning signals of tipping points;Bury;Proceedings of the National Academy of Sciences,2021

4. Early-warning signals for critical transitions;Scheffer;Nature,2009

5. Ewstools: A Python package for early warning signals of bifurcations in time series data;Bury;Journal of Open Source Software,2023

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