Published/Accepted:

  1. Lai, R. C. S., Lee, T. C. M., Wong, R. K.W., and Yao, F. (2009), Nonparametric cepstrum estimation via optimal risk smoothing, IEEE Transactions on Signal Processing, to appear.

  2. Yao, F., and Müller, H. G. (2009). Functional quadratic regression. Biometrika, to appear.

  3. Yao, F., Craiu, R. V., and Reiser, B. (2009). Nonparametric covariate adjustment for receiver operating characteristic curves. Canadian Journal of Statistics, to appear.

  4. Yao, F., and Lee, T. C. M. (2009). Automatic and asymptotically optimal data sharpening for nonparametric regression. Journal of Statistical Planning and Inference, to appear.

  5. Hall, P., Müller, H. G., and Yao, F. (2009). Estimation of functional derivatives. The Annals of Statistics, to appear.

  6. Zou, S., Carey, J. R., Liedo, P., Ingram, D. K., Müller, H. G., Wang, J. L., Yao, F., Yu, B., and Zhou, A. (2009). The prolongevity effect of resveratrol depends on dietary composition and calorie intake in a tephritid fruit fly. Experimental Gerontology, to appear.

  7. Müller, H. G., and Yao, F. (2008). Functional additive models. Journal of American Statistical Association, 103, 1534-1544.

  8. 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.

  9. Yao, F, and Lee, T. C. M. (2008). On knot placement for penalized spline regression. Journal of the Korean Statistical Society, 37, 259-267.

  10. Yao, F. (2008). Functional approach of flexibly modelling generalized longitudinal data and survival time. Journal of Statistical Planning and Inference, 138, 995-1009.

  11. Yao, F. (2007). Functional principal component analysis for longitudinal and survival data. Statistica Sinica, 17, 965-983

  12. Yao, F, and Lee, T. C. M. (2007). Spectral density estimation using sharpened periodograms. IEEE Transactions on Signal Processing, 55, 4711-4716.

  13. Yao. F. (2007). Asymptotic distributions of nonparametric regression estimators for longitudinal or functional data. Journal of Multivariate Analysis, 98, 40-56.

  14. Müller, H. G., Stadtmüller, U., and Yao, F. (2006). Functional variance processes. Journal of American Statistical Association, 101, 1007-1018.

  15. 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.

  16. Müller, H. G., and Yao, F. (2006). Regressing longitudinal response trajectories on a covariate. In Frontiers of Statistics: Festschrift for Peter Bickel (Eds.  J. Fan and H. Koul). London: Imperial College Press.

  17. Yao, F., Müller, H. G., and Wang, J. L. (2005). Functional linear regression analysis for longitudinal data. The Annals of Statistics, 33, 2873-2903.

  18. 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.

  19. Müller, H. G., Wang, J. L., Carey, J. R., Caswell-Chen, E. P., Chen, C., Papadopoulos, N., and Yao, F. (2004). Demographic window to aging in the wild: Constructing life tables and  estimating survival functions from marked individuals of unknown age. Aging Cell, 3, 125-131.

  20. 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.