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Bayesian inference of a directional brain network model for intracranial EEG data

  • Published:2020-04 Issue: Volume:144 Page:106847
  • ISSN:0167-9473
  • Container-title:Computational Statistics & Data Analysis
  • language:en
  • Short-container-title:Computational Statistics & Data Analysis

Author:

Zhang TingtingORCID,Sun Yinge,Li Huazhang,Yan Guofen,Tanabe Seiji,Miao Ruizhong,Wang Yaotian,Caffo Brian S.,Quigg Mark S.

Funder

University of Virginia

National Science Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference71 articles.

1. Learning in sparsely connected and sparsely coded system;Anderson,2005

2. Nonlinear Parameter Estimation;Bard,1974

3. Controlling the false discovery rate: a practical and powerful approach to multiple testing;Benjamini;J. R. Stat. Soc. B,1995

4. Bayesian estimation in differential equation models;Bhaumik,2014

5. Nonlinear parameter estimation: a case study comparison;Biegler;AIChE J.,1986

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1. Green’s matching: an efficient approach to parameter estimation in complex dynamic systems;Journal of the Royal Statistical Society Series B: Statistical Methodology;2024-04-12

2. A variational Bayesian approach to identifying whole-brain directed networks with fMRI data;The Annals of Applied Statistics;2023-03-01

3. A Bayesian State-Space Approach to Mapping Directional Brain Networks;Journal of the American Statistical Association;2021-02-10
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