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Authors
Jan Swierczek-Jereczek (0000-0003-2213-0423), George Datseris (0000-0002-6427-2385)
Citation
Swierczek-Jereczek et al., (2024). TransitionsInTimeseries.jl: A performant, extensible and reliable software for reproducible detection and prediction of transitions in timeseries. Journal of Open Source Software, 9(99), 6464, https://doi.org/10.21105/joss.06464
@article{Swierczek-Jereczek2024,
doi = {10.21105/joss.06464},
url = {https://doi.org/10.21105/joss.06464},
year = {2024},
publisher = {The Open Journal},
volume = {9},
number = {99},
pages = {6464},
author = {Jan Swierczek-Jereczek and George Datseris},
title = {TransitionsInTimeseries.jl: A performant, extensible and reliable software for reproducible detection and prediction of transitions in timeseries},
journal = {Journal of Open Source Software}
}
Tags
nonlinear dynamics timeseries analysis change point detection resilience loss critical slowing down early warning signals
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This work is licensed under a Creative Commons Attribution 4.0 International License.
