Wang, Yaotian, Yan, Guofen, Wang, Xiaofeng, Li, Shuoran, Peng, Lingyi, Tudorascu, Dana L., and Zhang, Tingting. A variational Bayesian approach to identifying whole-brain directed networks with fMRI data. Retrieved from https://par.nsf.gov/biblio/10401507. The Annals of Applied Statistics 17.1 Web. doi:10.1214/22-AOAS1640.

Wang, Yaotian, Yan, Guofen, Wang, Xiaofeng, Li, Shuoran, Peng, Lingyi, Tudorascu, Dana L., & Zhang, Tingting. A variational Bayesian approach to identifying whole-brain directed networks with fMRI data. The Annals of Applied Statistics, 17 (1). Retrieved from https://par.nsf.gov/biblio/10401507. https://doi.org/10.1214/22-AOAS1640

Wang, Yaotian, Yan, Guofen, Wang, Xiaofeng, Li, Shuoran, Peng, Lingyi, Tudorascu, Dana L., and Zhang, Tingting. "A variational Bayesian approach to identifying whole-brain directed networks with fMRI data". The Annals of Applied Statistics 17 (1). Country unknown/Code not available. https://doi.org/10.1214/22-AOAS1640. https://par.nsf.gov/biblio/10401507.

@article{osti_10401507,
place = {Country unknown/Code not available}, title = {A variational Bayesian approach to identifying whole-brain directed networks with fMRI data}, url = {https://par.nsf.gov/biblio/10401507}, DOI = {10.1214/22-AOAS1640}, abstractNote = {}, journal = {The Annals of Applied Statistics}, volume = {17}, number = {1}, author = {Wang, Yaotian and Yan, Guofen and Wang, Xiaofeng and Li, Shuoran and Peng, Lingyi and Tudorascu, Dana L. and Zhang, Tingting}, }