Yehua Li

Associate Professor

Department of Statistics & Statistical Laboratory

Iowa State University

 

 

 

 

Curriculum Vita

 

 

 

 

 

Mailing address:

      3214 Snedecor Hall, Iowa State University, Ames, IA 50011.

      Phone: (515) 294-0212.

      Email: yehuali@iastate.edu.

Education

      Ph.D. in Statistics (2006), Texas A&M University, College Station, TX.

      B.S. in Applied Mathematics (2000), Tsinghua University, Beijing, China.

Awards

      Iowa State University Award for Early Achievement in Research, 2015.

      Elected member of International Statistical Institute (ISI), 2013

      NSF CAREER Award 2012.

Research Interest

      Nonparametric/Semi-parametric statistical methods, Functional data analysis; 

      Spatial Statistics; Time Series; Correlation Estimation; Bootstrap/Sub-sampling;

      Measurement error models; Bayesian methods; MCMC algorithms.

Grants

      National Science Foundation (DMS 1317118, DMS 1105634, DMS 0806131).

Selected Publications

       Ye, J., Li, Y. and Guan, Y. (2015). Joint modeling of longitudinal drug using pattern and time to first relapse in cocaine dependence treatment data, Annals of Applied Statistics, to appear.

      Tang, J.[1], Li, Y. and Guan, Y. (2015). Generalized quasi-likelihood ratio tests for semiparametric analysis of covariance models in longitudinal data, Journal of the American Statistical Association, to appear. (The first authorís dissertation under Liís supervision)

      Huang, H., Li, Y. and Guan, Y. (2014). Joint modeling and clustering paired generalized longitudinal trajectories with application to cocaine abuse treatment data, Journal of the American Statistical Association, 109, 508, 1412-1424.

      Li, Y. and Guan, Y. (2014). Functional principal component analysis of spatial-temporal point processes, with applications to disease surveillance, Journal of the American Statistical Association, 109, 507, 1205-1215.

      Li, Y., Wang, N. and Carroll, R. J. (2013). Selecting the number of principal components in functional data, Journal of the American Statistical Association, 108, 504, 1284-1294.

      Guan Y., Li, Y.* and Sinha, R. (2011). On measurement error in regression analysis with predictors derived from stochastic processes and application to cocaine dependence treatment data, Journal of the American Statistical Association, 106, 480–493. (*Guan and Li are joint first authors.)

      Li, Y. (2011). Efficient semiparametric regression for longitudinal data with nonparametric covariance estimation, Biometrika, 98, 355-370.

      Li, Y. and Hsing, T. (2010). Deciding the dimension of effective dimension reduction space for functional and high-dimensional data, Annals of Statistics, 38, 3028-3062.

      Li, Y. and Hsing, T. (2010). Uniform convergence rates for nonparametric regression and principal component analysis in functional/longitudinal data, Annals of Statistics, 38, 3321-3351.

      Li, Y., Wang, N. and Carroll, R. J. (2010). Generalized functional linear models with semiparametric single-index interactions, Journal of the American Statistical Association, 105, 621-633. (Supplement material)

      Li. Y. and Genton, M. (2009). Single-index additive vector time series models, Scandinavia Journal of Statistics, 36, 369-388.

      Li, Y., Wang, N, Hong, M, Turner, N., Lupton, J. and Carroll. R. J. (2007). Nonparametric estimation of correlation functions in spatial and longitudinal data, with application to colon carcinogenesis experiments. Annals of Statistics, 35, 4, 1608-1643.

      Li, Y., Guolo, A., Hoffman, F. O. and Carroll, R. J. (2007). Shared uncertainty in measurement error models, with application to Nevada test site fallout data. Biometrics, 63, 1226-1236. (Supplementary material)

      Li, Y. and Hsing, T. (2007). On the rates of convergence in functional linear regression. Journal of Multivariate Analysis, 98, 1782-1804.

Technical Reports

      Li. Y. (2007). A note on Hilbertian elliptically contoured distribution. Unpublished manuscript.

Teaching

      STAT 105 (Fall 2012)

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[1] The paper is based on the first authorís Ph.D. dissertation under my supervision.