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Education
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Ph.D. in Statistics (2006), Texas A&M University,
College Station, TX.
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B.S. in Applied Mathematics (2000), Tsinghua University,
Beijing, China.
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Selected Publications
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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.)
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Li, Y.
(2011). Efficient semiparametric
regression for longitudinal data with nonparametric covariance estimation,
Biometrika,
98, 355-370.
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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.
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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.
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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)
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Li. Y. and
Genton, M. (2009). Single-index
additive vector time series models, Scandinavia Journal of
Statistics, 36, 369-388.
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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.
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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)
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Li, Y. and Hsing, T. (2007). On the rates of convergence in
functional linear regression. Journal
of Multivariate Analysis, 98, 1782-1804.
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