Jie Peng, Ph.D.

Research Interests

• Graphical Models
• High Dimension Inference
• Functional Data Analysis
• Statistical Genomics
• Neuroimaging

Recent Publications

• Yan H., Carmichael O., Paul D., and J. Peng. Estimating fiber orientation distribution from diffusion MRI with spherical needlets (2018). To appear on Medical Imaging Analysis. [arXiv:1612.07439]
• Zhou S., Paul D., and J. Peng. Modeling subject-specific nonautonomous dynamics (2018). Statistica Sinica 28 (2018), 423-447. [pdf]
• Choi Y., Coram M., J. Peng, and Tang H. A Poisson Log-Normal model for constructing gene covariation network using RNA-seq data (2017).  Journal of Computational Biology, 24(7):721-731. [pdf]
• An C., Ichihashi Y., J. Peng, Sinha N.R., Hagiwara N. (2016). Transcriptome dynamics and potential roles of Sox6 in the postnatal heart.  PloS One 11(11): e0166574. [html]
• Paul D., J. Peng, and P. Burman. Nonparametric estimation of dynamics of monotone trajectories (2016).  The Annals of Statistics, Vol. 44, No. 6, 2401-2432. [pdf]
• Wong, R.K.W., T.C.M. Lee, D. Paul, and J. Peng. Rejoinder: Fiber direction estimation, smoothing and tracking in diffusion MRI (2016). The Annals of Applied Statistics, 10(3): 1166-1169. [pdf]

Education

• Stanford University, Ph.D