A hierarchical bayesian model for differential connectivity in multi-trial brain signals
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DOI: 10.1016/j.ecosta.2020.03.009
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References listed on IDEAS
- Gorrostieta, Cristina & Ombao, Hernando & von Sachs, Rainer, 2019. "Time-Dependent Dual-Frequency Coherence in Multivariate Non-Stationary Time Series," LIDAM Reprints ISBA 2019011, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Lechuan Hu & Norbert J. Fortin & Hernando Ombao, 2019. "Modeling High-Dimensional Multichannel Brain Signals," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(1), pages 91-126, April.
- Cristina Gorrostieta & Hernando Ombao & Rainer Von Sachs, 2019. "Time‐Dependent Dual‐Frequency Coherence in Multivariate Non‐Stationary Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(1), pages 3-22, January.
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Cited by:
- Xu Gao & Weining Shen & Liwen Zhang & Jianhua Hu & Norbert J. Fortin & Ron D. Frostig & Hernando Ombao, 2021. "Regularized matrix data clustering and its application to image analysis," Biometrics, The International Biometric Society, vol. 77(3), pages 890-902, September.
- Granados-Garcia, Guilllermo & Fiecas, Mark & Babak, Shahbaba & Fortin, Norbert J. & Ombao, Hernando, 2022. "Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels," Computational Statistics & Data Analysis, Elsevier, vol. 174(C).
- Degras, David & Ting, Chee-Ming & Ombao, Hernando, 2022. "Markov-switching state-space models with applications to neuroimaging," Computational Statistics & Data Analysis, Elsevier, vol. 174(C).
- Dallakyan, Aramayis & Kim, Rakheon & Pourahmadi, Mohsen, 2022. "Time series graphical lasso and sparse VAR estimation," Computational Statistics & Data Analysis, Elsevier, vol. 176(C).
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Keywords
Local field potentials; Brain effective connectivity; Multivariate time series; Vector autoregressive model; Partial directed coherence; Bayesian hierarchical vector autoregressive model; Bayesian variable selection;All these keywords.
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