My research interests lie in functional and longitudinal data analysis, manifold data analysis, and statistical applications in plant genomics and neuroscience. This is my Google Scholar page.


  1. (Submitted) Dai, X., Lin, Z. and Müller, H.-G. (2018+) Statistical analysis of longitudinal data on Riemannian manifolds. ArXiv.   Link
  2. (Revising) Dai, X., Hadjipantelis, P., Wang, J.-L., Deoni, S. and Müller, H.-G. (2018+) Longitudinal associations between white matter maturation and cognitive development across early childhood.


Statistical Methods and Theory

  1. Dai, X. and Müller, H.-G. (2018) Principal component analysis for functional Data on Riemannian manifold and spheres. The Annals of Statistics, 46, 3334–3361.   PDF   Supplement
  2. Dai, X., Müller, H.-G. and Tao, W. (2018) Derivative principal components for representing the time dynamics of longitudinal and functional data. Statistica Sinica, 28, 1583–1609.   PDF
  3. Dai, X., Müller, H.-G. and Yao, F. (2017) Optimal Bayes classifiers for functional data and density ratios. Biometrika, 104, 545–560. 2016 ASA Nonparametric Statistics Section Student Paper Awards Finalist   PDF   Supplement


  1. (Accepted) Dai, X., Müller, H.-G., Wang, J.-L. and Deoni, S.D. (2018+) Age-dynamic networks and functional correlation for early white matter myelination. Brain Structure and Function.   PDF
  2. Dai, X., Wang, H., Zhou, H., Wang, L., Dvořák, J., Bennetzen, J., et al. (2018) Birth and death of LTR retrotransposons in Aegilops tauschii. Genetics, 210, 1039–1051.   Link
  3. Dvorak, J., Wang, L., Zhu, T., Jorgensen, C.M., Deal, K.R., Dai, X., et al. (2018) Structural variation and rates of genome evolution in the grass family seen through comparison of sequences of genomes greatly differing in size. The Plant Journal, 95, 487–503.   Link
  4. Luo, M.-C., Gu, Y.Q., Puiu, D., Wang, H., Twardziok, S.O., Deal, K.R., et al. (2017) Genome sequence of the progenitor of the wheat D genome Aegilops tauschii. Nature, 551, 498–502.   Link