%0 Journal Article %1 journals/ni/KookVDEV21 %A Kook, Jeong Hwan %A Vaughn, Kelly A. %A DeMaster, Dana M. %A Ewing-Cobbs, Linda %A Vannucci, Marina %D 2021 %J Neuroinformatics %K dblp %N 1 %P 39-56 %T BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks. %U http://dblp.uni-trier.de/db/journals/ni/ni19.html#KookVDEV21 %V 19

@article{journals/ni/KookVDEV21, added-at = {2021-06-01T00:00:00.000+0200}, author = {Kook, Jeong Hwan and Vaughn, Kelly A. and DeMaster, Dana M. and Ewing-Cobbs, Linda and Vannucci, Marina}, biburl = {https://www.bibsonomy.org/bibtex/275528b9199c6a2679a6e0dd04e58788b/dblp}, ee = {https://www.wikidata.org/entity/Q96172732}, interhash = {c1bdebee392c2b6f01dcc2b85af43fd0}, intrahash = {75528b9199c6a2679a6e0dd04e58788b}, journal = {Neuroinformatics}, keywords = {dblp}, number = 1, pages = {39-56}, timestamp = {2024-04-08T12:11:30.000+0200}, title = {BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks.}, url = {http://dblp.uni-trier.de/db/journals/ni/ni19.html#KookVDEV21}, volume = 19, year = 2021 }