王天颖

王天颖

助理教授

研究方向:分位数回归,测量误差分析,高维数据统计分析,流行病学与生物遗传学的统计分析,电子医疗病历数据分析

地址:清华大学伟清楼212-A室

电话:010-62787148

邮箱:tianyingw@tsinghua.edu.cn

Background

  • 德克萨斯A&M大学统计学博士
  • 哥伦比亚大学博士后(2018-2020)
  • 清华大学统计学研究中心助理教授(2020-)

更多信息请参考王天颖助理教授个人主页:https://tianyingw.github.io/

Publications

  1. Wang, T., Ionita-Laza and Wei, Y. (2021). “Integrated Quantile RAnk Test (iQRAT) for gene-level associations”. The Annals of Applied Statistics. (accepted).
  2. Wang, T., Ling, W., Plantinga, A., Wu, M. and Zhan, X. (2021). “Testing microbiome association using integrated quantile regression models”. Bioinformatics. (accepted).
  3. Wang, T. and Asher, A. (2020). “Improved semiparametric analysis of polygenic gene-environment interactions in case-control studies”. Statistics in Biosciences. (accepted).
  4. Gaynanova, I. and Wang, T. (2019). “Sparse quadratic classification rules via linear dimension reduction”. Journal of Multivariate Analysis, 169, 278-299.
  5. Blas Achic, B. *, Wang, T. * , Su, Y., Kipnis, V., Dodd, K. and Carroll, R. J. (2018). “Categorizing a Continuous Predictor Subject to Measurement Error”. Electronic Journal of Statistics, Vol. 12, No. 2, 4032-4056. ( * joint first authors).
  6. Li, H., Staudenmayer, J., Wang, T., Keadle, S. K., and Carroll, R. J. (2018). “Three‐part joint modeling methods for complex functional data mixed with zero‐and‐one–inflated proportions and zero‐inflated continuous outcomes with skewness”. Statistics in medicine, 37(4), 611-626.
  7. Johnson, V., Payne, R., Wang, T., Asher, A. and Mandal, S. (2017). “On the reproducibility of psychological science”. Journal of the American Statistical Association, 112.517: 1-10.
  8. Wang, T., Yang, Y. and Tian, M. (2017). “Tuning Parameter Selection in Adaptive LASSO for Quantile Regression with Penal Data”. Journal of Applied Statistics and Management, 36(3): 429– 440.
  9. Yin, J., Wang, T., and Wang, W. (2017). “Structure learning and parameter estimation on robust conditional graphical model”. China Science Paper, 12(17): 1921-1929.