| Functional data analysis for sparse longitudinal data F Yao, HG Müller, JL Wang Journal of the American statistical association 100 (470), 577-590, 2005 | 1753 | 2005 |
| Functional linear regression analysis for longitudinal data F Yao, HG Müller, JL Wang | 824 | 2005 |
| Functional additive models HG Müller, F Yao Journal of the American Statistical Association 103 (484), 1534-1544, 2008 | 295 | 2008 |
| Shrinkage estimation for functional principal component scores with application to the population kinetics of plasma folate F Yao, HG Müller, AJ Clifford, SR Dueker, J Follett, Y Lin, BA Buchholz, ... Biometrics 59 (3), 676-685, 2003 | 181 | 2003 |
| Penalized spline models for functional principal component analysis F Yao, TCM Lee Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2006 | 176 | 2006 |
| Functional quadratic regression F Yao, HG Müller Biometrika 97 (1), 49-64, 2010 | 169 | 2010 |
| Partially functional linear regression in high dimensions D Kong, K Xue, F Yao, HH Zhang Biometrika 103 (1), 147-159, 2016 | 166 | 2016 |
| Modelling sparse generalized longitudinal observations with latent Gaussian processes P Hall, HG Müller, F Yao Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2008 | 145 | 2008 |
| Dependence calibration in conditional copulas: A nonparametric approach EF Acar, RV Craiu, F Yao Biometrics 67 (2), 445-453, 2011 | 121 | 2011 |
| Demographic window to aging in the wild: constructing life tables and estimating survival functions from marked individuals of unknown age HG Müller, JL Wang, JR Carey, EP Caswell‐Chen, C Chen, ... Aging cell 3 (3), 125-131, 2004 | 80 | 2004 |
| Structured functional additive regression in reproducing kernel Hilbert spaces H Zhu, F Yao, HH Zhang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2014 | 77 | 2014 |
| Continuously additive models for nonlinear functional regression HG Müller, Y Wu, F Yao Biometrika 100 (3), 607-622, 2013 | 75 | 2013 |
| Asymptotic distributions of nonparametric regression estimators for longitudinal or functional data F Yao Journal of Multivariate Analysis 98 (1), 40-56, 2007 | 70 | 2007 |
| Functional principal component analysis for longitudinal and survival data F Yao Statistica Sinica, 965-983, 2007 | 68 | 2007 |
| Optimal Bayes classifiers for functional data and density ratios X Dai, HG Müller, F Yao Biometrika 104 (3), 545-560, 2017 | 61 | 2017 |
| The prolongevity effect of resveratrol depends on dietary composition and calorie intake in a tephritid fruit fly S Zou, JR Carey, P Liedo, DK Ingram, HG Müller, JL Wang, F Yao, B Yu, ... Experimental gerontology 44 (6-7), 472-476, 2009 | 61 | 2009 |
| Statistical testing of covariate effects in conditional copula models EF Acar, RV Craiu, F Yao | 56 | 2013 |
| Estimation of functional derivatives P Hall, HG Müller, F Yao | 53 | 2009 |
| Empirical dynamics for longitudinal data HG Müller, F Yao | 50 | 2010 |
| Functional variance processes HG Müller, U Stadtmüller, F Yao Journal of the American Statistical Association 101 (475), 1007-1018, 2006 | 46 | 2006 |
Hans-Georg MüllerUniversity of California, DavisVerified email at ucdavis.edu
