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A Bayesian Heteroscedastic GLM with Application to fMRI Data with Motion Spikes
Anders Eklund, Martin A. Lindquist, Mattias Villani
doi: https://doi.org/10.1101/091066
Anders Eklund
aDivision of Statistics & Machine Learning, Department of Computer and Information Science, Linköping University, Linköping, Sweden
bDivision of Medical Informatics, Department of Biomedical Engineering, Linköping University, Linköping, Sweden
cCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
Martin A. Lindquist
dDepartment of Biostatistics, Johns Hopkins University, Baltimore, USA
Mattias Villani
aDivision of Statistics & Machine Learning, Department of Computer and Information Science, Linköping University, Linköping, Sweden
Article usage
Posted December 02, 2016.
A Bayesian Heteroscedastic GLM with Application to fMRI Data with Motion Spikes
Anders Eklund, Martin A. Lindquist, Mattias Villani
bioRxiv 091066; doi: https://doi.org/10.1101/091066
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