Beyond Linear Dynamic Functional Connectivity: A Vine Copula Change Point Model
Author:
Affiliation:
1. Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
2. Department of Accounting and Business Analytics, Alberta School of Business, Edmonton, Canada
Funder
China Council Scholarship
Natural Sciences and Engineering Research Council
Xerox Faculty Fellowship, Alberta School of Business
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/10618600.2022.2127738
Reference55 articles.
1. Pair-Copula Constructions for Financial Applications: A Review
2. Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity
3. Break detection in the covariance structure of multivariate time series models
4. Changes in brain activity following intensive voice treatment in children with cerebral palsy
5. Change Point Detection in Correlation Networks
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2. A predictor-informed multi-subject bayesian approach for dynamic functional connectivity;PLOS ONE;2024-05-16
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5. Martin Ondrus, Md/Phd Candidate, University of Alberta;2023
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