Jane-Ling Wang, Ph.D.

Research Interests

• Dimension Reduction
• Functional / Longitudinal Data Analysis
• Survival Analysis
• Neuroimaging
• Applications to Science

Recent Publications

• J.-L. Wang (2017). An Odyssey to Incomplete Data: Winfried Stute's Contribution to Survival Analysis. From Statistics to Mathematical Finance - Festschrift in Honour of Winfried Stute. Ed. Ferger et al., Springer. (Link)
• C. Jiang, J. Aston and J.-L.Wang (2017). A functional approach to deconvolve dynamic neuroimaging data. Journal of the American Statistical Association, 111, 1–13. (Link)
• J.-L. Wang, J.-M. Chiou and H.-G. Müller (2016). Functional data analysis. Annal Review of Statistics and Its Applications, 3, 257-95. (Link)
• Y. Su and J.-L. Wang (2016). Semiparametric efficient estimation for shared-frailty model with doubly-censored clustered data. Annals of Statistics, 44, 1298-1331. (Link)
• S. Qu , J.-L. Wang and X. Wang (2016). Optimal estimation for the functional Cox model. Annals of Statistics, 44, 1708-1738. (Link)
• X. Zhang and J.-L. Wang (2016). From sparse to dense functional data and beyond. Annals of Statistics, 44, 2281-2321. (PDF)

Education

• UC Berkeley, Ph.D.