Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPs

An important problem in many fields dealing with noisy time series, such as psychophysiological single trial data during learning or monitoring treatment effects over time, is detecting a change in the model underlying a time series. Here, we present a new method for detecting a single changepoint i...

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Detalles Bibliográficos
Autores principales: Sommer, Werner, Stapor, Katarzyna, Kończak, Grzegorz, Kotowski, Krzysztof, Fabian, Piotr, Ochab, Jeremi, Bereś, Anna, Ślusarczyk, Grażyna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139177/
https://www.ncbi.nlm.nih.gov/pubmed/35624912
http://dx.doi.org/10.3390/brainsci12050525

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139177/
https://www.ncbi.nlm.nih.gov/pubmed/35624912
http://dx.doi.org/10.3390/brainsci12050525

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