Searching Multiregression Dynamic Models of Resting-State fMRI Networks Using Integer Programming
- Submitting institution
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University of York
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 54875173
- Type
- D - Journal article
- DOI
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10.1214/14-BA913
- Title of journal
- Bayesian Analysis
- Article number
- -
- First page
- 441
- Volume
- 10
- Issue
- 2
- ISSN
- 1936-0975
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper was published in one of the top journals for Bayesian statistics. It is the result of joint work with the Statistics Dept at the University of Warwick and the Oxford University Centre for Functional MRI of the Brain. This paper applies software (Cussens's GOBNILP system) to learn a time series model for fMRI data.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -