✱co-first author

  1. Li S, Wang Y✱, Peng L, Tudorascu DL, Yan G, He J, and Zhang T (2023). Whole-Brain Directed Network Analysis of fMRI Data. Statistics and Its Interface, accepted.
  2. Wang Y, Yan G, Wang X, Li S, Peng L, Tudorascu DL, and Zhang T (2022). A Variational Bayesian Approach to Identifying Whole-Brain Directed Networks with fMRI Data. The Annals of Applied Statistics, 17(1): 518-538.
  3. Wang Y, Yan G, Tanabe S, Liu C-C, Moosa S, Quigg M, and Zhang T (2022). High-Dimensional Directional Brain Network Analysis for Focal Epileptic Seizures. arXiv:2208.07991.
  4. Corliss B, Wang Y, Shakeri H, and Bourne, P (2022). The Least Difference in Means: A Statistic for Effect Size Strength and Practical Significance. arXiv:2205.12958.
  5. Li H, Wang Y✱, Yan G, Sun Y, Tanabe S, Liu C-C, Quigg M, and Zhang T (2021). A Bayesian State-Space Approach to Mapping Directional Brain Networks. Journal of the American Statistical Association, 116(536): 1637-1647.
  6. Li H, Wang Y✱, Tanabe S, Sun Y, Yan G, Quigg M, and Zhang T (2021). Mapping Epileptic Directional Brain Networks Using Intracranial EEG Data. Biostatistics, 22(3): 613-628.
  7. Zhang T, Pham M, Yan G, Wang Y, Medina-Devilliers S, and Coan JA (2021). Spatial-Temporal Analysis of Multi-Subject Functional Magnetic Resonance Imaging Data. Econometrics and Statistics,
  8. Zhang T, Sun Y, Li H, Yan G, Tanabe S, Miao R, Wang Y, Caffo B, and Quigg M (2020). Bayesian Inference of a Directional Brain Network for Intracranial EEG Data. Computational Statistics and Data Analysis, 144: 106847.

Under review/In preparation

  1. Wang Y, Li S✱, He J, Peng L, Tudorascu DL, Rizzo SJS, Silva AC, Carte GW, and Zhang T (2023). Whole-Brain Functional Connectivity Network Changes from Adolescent to Old Ages. In Submission.
  2. Corliss B, Wang Y, Shakeri H, and Bourne, P (2022). Contra-Analysis: Prioritizing Meaningful Effect Size in Scientific Research. Under review.