Asynchronous Changepoint Estimation for Spatially Correlated Functional Time Series

We propose a new solution under the Bayesian framework to simultaneously estimate mean-based asynchronous changepoints in spatially correlated functional time series. Unlike previous methods that assume a shared changepoint at all spatial locations or ignore spatial correlation, our method treats ch...

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Detalles Bibliográficos
Autores principales: Wang, Mengchen, Harris, Trevor, Li, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579602/
https://www.ncbi.nlm.nih.gov/pubmed/36275915
http://dx.doi.org/10.1007/s13253-022-00519-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579602/
https://www.ncbi.nlm.nih.gov/pubmed/36275915
http://dx.doi.org/10.1007/s13253-022-00519-w

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