Xu, Y.*, Li, Y. and Nettleton, D. (2017). Nested hierarchical
functional data modeling and inference for the analysis of functional plant
phenotypes, Journal of the American Statistical Association, accepted.
Wang, H, Zhong,
P.-S., Cui, Y. and Li, Y.
(2017). Unified tests for functional linear models and the transition phase
from sparse to dense functional data, Journal of the Royal Statistical
Society, Series B, accepted.
Li, Y. and Guan, Y.
(2016). Generalized quasi-likelihood ratio
tests for semiparametric analysis of covariance models in longitudinal data,
of the American Statistical Association, 111, 514, 736-747. (The
first authorÕs dissertation under LiÕs supervision)
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, 9,
Huang, H., Li, Y. and Guan, Y. (2014). Joint modeling and clustering paired generalized
longitudinal trajectories with application to cocaine abuse treatment data,
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, 480Š493. (*Guan and Li are joint
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,
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,
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.
_ Li, Y. and Hsing, T. (2007). On
the rates of convergence in functional linear regression. Journal of Multivariate Analysis,
STAT 542, Theory of Probability and Statistics I. (Fall
2015, Fall 2016)
STAT 547X, Functional Data Analysis, ISU. (Spring 2014,
STAT 322, Probabilistic Methods for Electrical
Engineers, ISU. (Fall 2013)
STAT 402, Session C, Experimental Design in Social
Sciences, ISU. (Spring 2013, Spring 2015, Spring 2016)
_ STAT 105,
Introduction to Statistics for Engineers, ISU. (Fall 2012, Spring 2015)