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Dr. Jin-Ting Zhang

Department of Statistics and Applied Probability

National University of Singapore, Singapore

Email: stazjt@nus.edu.sg, jinzhang@princeton.edu


1999 Ph.D., Statistics, University of North Carolina at Chapel Hill, USA

1991 M.S., Statistics, Academia Sinica, China

1988 B.S., Statistics, Peking University, China

Publications (Selected)

  1. Zhang, J. T. (2011a) An approximate degrees of freedom test for heteroscedastic two-way ANOVA. J. Statist. Plann. Infer. DOI: 10.1016/j.jspi.2011.07.023.
  2. Zhang, J. T. (2011b) Two-way MANOVA with unequal cell sizes and unequal cell covariance matrices. Technometrics, 53(4): 426-439.
  3. Zhang, J.T. (2011c) Statistical Inferences for linear models with functional responses. Statistica Sinica. 21, 1431-1451.
  4. Zhang, J. T. , Liang Xuehua and Xiao Shengning (2010) On the two-sample Behrens-Fisher problem for functional data. J. Statist. Theor. Prac. 4, pp. 571-587.
  5. Zhang, J.T. and Xu, J.F. (2009) On the k-sample Behrens-Fisher problem for high-dimensional data. Science of China: Ser. A, 52 (6): 1285-1304.
  6. Zhang, W., Sun, Y., Zhang, J. T., and Wang D. (2008) Local polynomial modeling for varying-coefficient informative survival models. Statistica Sinica. 19, 1319-1335.
  7. Zhang, J. T. and Chen, J. W. (2007) Statistical inferences for functional data. Ann. Statist. 35, 1052-1079.
  8. Zhang J. T. (2005) Approximate and asymptotic distributions of chi-squared-type mixtures with applications. J. Amer. Statist. Assoc., 100, 273-285.
  9. Wu, H. and Zhang, J. T. (2002a) Local polynomial mixed-effects models for longitudinal data. J. Amer. Statist. Assoc. , 97, 883-897.
  10. Wu, H. and Zhang, J. T. (2002b) The study of long-term HIV dynamics using semiparametric nonlinear mixed-effects models. Statistics in Medicine, 21, 3655-3675.
  11. Fan, J. and Zhang, J. T. (2000) Two-step estimation for functional linear models with applications to longitudinal data. J.R. Statist. Soc. B. 62, 303-322.
  12. Locantore, N., Simpson, D.G., Tripoli, N., Zhang, J. T. and Cohen, K. L. (1999) Robust principal component analysis for functional data (with discussions and rejoinder) Test. 8, 1-73.

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