Research

I am interested in the following areas:

  • Bayesian nonparametric/semi-parametric models
  • Asymptotics
  • High-dimensional inference and variable selection
  • Biomarker evaluation
  • Risk prediction of cancer
  • Bayesian clinical trial designs
  • Longitudinal data analysis

Publications:

Bayesian nonparametrics

  • Martin, R. and Shen, W. (2017+) Asymptotically optimal empirical Bayes inference in a piecewise constant sequence model. Under review.  [Link]
  • Shen, W. and Ghosal, S. (2017) Posterior Contraction Rates of Density Derivative Estimation. Sankhya A, 79(2), 336-354 (invited paper). [Link]
  • Shen, W., Ning, J. and Yuan, Y. (2016) Rate-adaptive Bayesian independent component analysis. Electronic Journal of Statistics, 10(2): 3247-3264. [Link]
  • Shen, W. and Ghosal, S. (2016) Adaptive Bayesian density regression for high-dimensional data. Bernoulli, 22(1): 396-420. [PDF]
  • Shen, W. and Ghosal, S. (2015) Adaptive Bayesian procedures using random series priors. Scandinavian Journal of Statistics, 42(4): 1194-1213. [PDF]
  • Shen, W., Tokdar, S. T. and Ghosal, S. (2013) Adaptive Bayesian multivariate density estimation with Dirichlet mixtures. Biometrika, 100(3): 623-640. [PDF]

Biostatistic methodology and applications

  • Shen, W., Liu, S., Chen, Y., and Ning, J. (2018+) Regression analysis of longitudinal data with outcome-dependent sampling and informative censoring. Under review.
  • Shen, W., Ning, J., Yuan, Y., Lok, A. and Feng, Z. (2018) Model-free scoring system for risk prediction with application to hepatocellular carcinoma study. Biometrics, 74: 239-248. [Link]
  • Shen, W., Ning, J. and Yuan, Y. (2015) A direct method to evaluate the time-dependent predictive accuracy for biomarkers. Biometrics, 71: 439-449.  [Link]
  • Shen, W., Ning, J. and Yuan, Y. (2015) Bayesian sequential monitoring design for two-arm randomized clinical trials with noncompliance. Statistics in Medicine, 34: 2104-2115. [Link]

Single cell analysis and modeling

  • Comparative Single Cell Transcriptomics Reveals Distinct Cell Fate Transition Statuses during Human Cardiac Reprogramming. (2017+) with Zhou et al. Under review.
  • Single cell transcriptomics reconstructs fate conversion from fibroblast to cardiomyocyte. (2017) with Liu et al. Nature, 551(7678):100-104. [Link]

Neuroimaging, Machine Learning and others

  • Nipoti, B. and Shen, W. (2018) Discussion: Bayesian Cluster Analysis: Point Estimation and Credible Balls. Bayesian Analysis.
  • Kong, D., Bondell, H., and Shen, W. (2018) Outlier Detection and Robust Estimation in Nonparametric Regression. AISTATS’18
  • Suthaharan, S. and Shen, W. (2018) Elliptical modeling and pattern analysis for perturbation models and classfication. International Journal of Data Science and Analytics[Link]
  • Matrix Linear Discriminant Analysis. (2017+) with Hu et al. Under review. 
  • Evolutionary State-Space Model and Its Application to Time-Frequency Analysis of Local Field Potentials. (2017+) with Gao et al. Under review.
  • Shen, W. and Kong, D. (2016) Discussion: Statistical modelling of citation exchange between statistics journals. Journal of the Royal Statistical Society: Series A.
  • Ren, H., Shen, W., Wu, R. and Soo, Y. (2013) Moment estimation based on quantiles. WIREs Computational Statistics, 5(5): 387-390.
  • Zhu, W. and Shen, W. (2016) Discussion of “Perils and potentials of self-selected entry to epidemiological studies and surveys”. Journal of the Royal Statistical Society: Series A