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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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