Publications

Selected Journal Publications:

(* Student author; c Correspondence author)

Park, Y., Li, B. and Li, Y., (2022). Crop yield prediction using Bayesian spatially varying coefficient models with functional predictors, Journal of the American Statistical Association, to appear. 

Xu, G., Zhang, J., Li, Y. and Guan, Y. (2022). Bias-correction and test for mark-point dependence with replicated marked point processes, Journal of the American Statistical Association, to appear.

Zhu, W.*, Xu, I., Liu, C. and Li, Y.c,  (2022).  Minimax powerful functional analysis of covariance tests with application to longitudinal Genome-Wide Association Studies, Scandinavian Journal of Statistics, forthcoming. 

Zhang, H.* and Li, Y.c (2022). Unified principal component analysis for sparse and dense functional data under spatial dependence, Journal of Business & Economic Statistics, 40, 4, 1523-1537. 

Liu, Y.*, Li, Y.c, Carroll, R. J. and Wang, N. (2022). Predictive functional linear models with semiparametric single-index interactions, Journal of Econometrics, 230, 2, 221-239.

Zhu, H.*, Zhang, R., Li, Y. and Yao, W. (2022). Estimation for extreme conditional quantiles of functional quantile regression, Statistica Sinica, 32, 4, 1767-1787

Pan, L.*, Li, Y.c, He. Z. Li, Y. M. and Li, Y. (2020). Generalized linear mixed model with Gaussian mixture random effects: inference and application, Journal of Multivariate Analysis, 175, 104555. (Software)

Wong, R., Li, Y.c and Zhu, Z. (2019). Partially linear functional additive models for multivariate functional data, Journal of the American Statistical Association, 114, 525, 406-418.

Xu, Y.*, Li, Y.c and Nettleton, D. (2018). Nested hierarchical functional data modeling and inference for the analysis of functional plant phenotypes, Journal of the American Statistical Association, 113. 593-606.      

Wang, H, Zhong, P.-S., Cui, Y. and Li, Y. (2018). Unified empirical likelihood ratio tests for functional linear models and the transition phase from sparse to dense functional data, Journal of the Royal Statistical Society, Series B, 80, 2, 343-364.

Tang, J.*, Li, Y.c and Guan, Y. (2016). Generalized quasi-likelihood ratio tests for semiparametric analysis of covariance models in longitudinal data, Journal of the American Statistical Association, 111, 514, 736-747. 

Ye, J., Li, Y.c 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, 3, 1621-1642.

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.c 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. c, 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, 480-93. (*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.