Lin, Z.*, and Yao, F. (2018). Intrinsic Riemannian functional data analysis. The Annals of Statistics, to appear.
Lin, Z.*, Müller, H. G., and Yao, F. (2017). Mixture inner product spaces and their application to functional data analysis. The Annals of Statistics, to appear.
Kong D.*, Xue, K.*, Yao, F., and Zhang, H. H. (2016). Partially functional linear regression in high dimensions (supplementary material). Biometrika, 103, 147-159.
Yao, F., Lei, E.*, and Wu, Y. (2015). Effective dimension reduction for sparse functional data. Biometrika, 102, 421-437.
Zhu, H.*, Yao, F., and Zhang, H. H. (2014). Structured functional additive regression in reproducing kernel Hilbert spaces. Journal of the Royal Statistical Society, Series B, 76, 581-603.
Müller, H. G., Wu, Y., and Yao, F. (2013). Continuously additive models for nonlinear functional regression. Biometrika, 100, 607-622.
Acar, E.*, Craiu, R. V., and Yao, F. (2011). Dependence calibration in conditional copulas: a nonparametric approach (web appendix). Biometrics, 67, 445-453.
Yao, F., Fu, Y., and Lee, T. C. M. (2011). Functional mixture regression (web appendix). Biostatistics, 12, 341-353.
Müller, H. G., and Yao, F. (2010). Additive modeling of functional gradients. Biometrika, 97, 791-805.
Müller, H. G., and Yao, F. (2010). Empirical dynamics for longitudinal data. The Annals of Statistics, 38, 3458-3486.
Yao, F., and Müller, H. G. (2010). Functional quadratic regression. Biometrika, 97, 49-64.
Hall, P., Müller, H. G., and Yao, F. (2009). Estimation of functional derivatives. The Annals of Statistics, 37, 3307-3329.
Müller, H. G., and Yao, F. (2008). Functional additive models. Journal of American Statistical Association, 103, 1534-1544.
Hall, P., Müller, H. G., and Yao, F. (2008). Modeling sparse generalized longitudinal observations with latent Gaussian processes. Journal of the Royal Statistical Society, Series B, 70, 703-723.
Yao, F. (2007). Functional principal component analysis for longitudinal and survival data. Statistica Sinica, 17, 965-983.
Yao. F. (2007). Asymptotic distributions of nonparametric regression estimators for longitudinal or functional data. Journal of Multivariate Analysis, 98, 40-56.
Müller, H. G., Stadtmüller, U., and Yao, F. (2006). Functional variance processes. Journal of American Statistical Association, 101, 1007-1018.
Yao, F., and Lee, T. C. M. (2006). Penalized spline models for functional principal component analysis. Journal of the Royal Statistical Society, Series B, 68, 3-25.
Yao, F., Müller, H. G., and Wang, J. L. (2005). Functional linear regression analysis for longitudinal data. The Annals of Statistics, 33, 2873-2903.
Yao, F., Müller, H. G. and Wang, J. L. (2005). Functional data analysis for sparse longitudinal data. Journal of the American Statistical Association, 100, 577-590.
Yao, F., Müller, H. G., Clifford, A. J., Dueker, S. R., Follett, J., Lin, Y., Buchholz, B. A., and Vogel, J. S. (2003). Shrinkage estimation for functional principal component scores with application to the population kinetics of plasma folate. Biometrics, 59, 676-685.