A hierarchical random effects state-space model for modeling brain activities from electroencephalogram data

Guo, X., Yang, B., Loh, J. M., Wang, Q., & Wang, Y. (2024). A hierarchical random effects state-space model for modeling brain activities from electroencephalogram data. Biometrics, 80(4). https://doi.org/10.1093/biomtc/ujae130
Authors:
Xingche Guo
Bin Yang
Yuanjia Wang
Ji Meng Loh
Qinxia Wang
Affiliated Authors:
Xingche Guo
Bin Yang
Yuanjia Wang
Columbia Affiliation:
Author Keywords:
bayesian hierarchical models
biomarkers
brain connectivity
depression
latent state-space model
resting-state eeg
elink
Publication Type:
Article
Unique ID:
10.1093/biomtc/ujae130
PMID:
39504537
DOI:
10.1093/biomtc/ujae130
Journal:
Biometrics
Publication Date:
Data Source:
Web of Science
Source Link:
View Web of Science Record
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Record Created: