APA (7th ed.) Citation

Kook, J. H., Vaughn, K. A., DeMaster, D. M., Ewing-Cobbs, L., & Vannucci, M. (2021). BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks. Neuroinformatics (Totowa, N.J.), 19(1), 39-56. https://doi.org/10.1007/s12021-020-09472-w

Chicago Style (17th ed.) Citation

Kook, Jeong Hwan, Kelly A. Vaughn, Dana M. DeMaster, Linda Ewing-Cobbs, and Marina Vannucci. "BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks." Neuroinformatics (Totowa, N.J.) 19, no. 1 (2021): 39-56. https://doi.org/10.1007/s12021-020-09472-w.

MLA (9th ed.) Citation

Kook, Jeong Hwan, et al. "BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks." Neuroinformatics (Totowa, N.J.), vol. 19, no. 1, 2021, pp. 39-56, https://doi.org/10.1007/s12021-020-09472-w.