Warnick, Ryan, Guindani, Michele, Erhardt, Erik, Allen, Elena, Calhoun, Vince, and Vannucci, Marina. A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data. Retrieved from https://par.nsf.gov/biblio/10059921. Journal of the American Statistical Association 113.521 Web. doi:10.1080/01621459.2017.1379404.

Warnick, Ryan, Guindani, Michele, Erhardt, Erik, Allen, Elena, Calhoun, Vince, & Vannucci, Marina. A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data. Journal of the American Statistical Association, 113 (521). Retrieved from https://par.nsf.gov/biblio/10059921. https://doi.org/10.1080/01621459.2017.1379404

Warnick, Ryan, Guindani, Michele, Erhardt, Erik, Allen, Elena, Calhoun, Vince, and Vannucci, Marina. "A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data". Journal of the American Statistical Association 113 (521). Country unknown/Code not available. https://doi.org/10.1080/01621459.2017.1379404. https://par.nsf.gov/biblio/10059921.

@article{osti_10059921,
place = {Country unknown/Code not available}, title = {A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data}, url = {https://par.nsf.gov/biblio/10059921}, DOI = {10.1080/01621459.2017.1379404}, abstractNote = {}, journal = {Journal of the American Statistical Association}, volume = {113}, number = {521}, author = {Warnick, Ryan and Guindani, Michele and Erhardt, Erik and Allen, Elena and Calhoun, Vince and Vannucci, Marina}, }