| Wiener processes with random effects for degradation data X Wang Journal of Multivariate Analysis 101 (2), 340-351, 2010 | 487 | 2010 |
| An inverse Gaussian process model for degradation data X Wang, D Xu Technometrics 52 (2), 188-197, 2010 | 449 | 2010 |
| Velocity dispersion profiles of seven dwarf spheroidal galaxies MG Walker, M Mateo, EW Olszewski, OY Gnedin, X Wang, B Sen, ... The Astrophysical Journal 667 (1), L53, 2007 | 358 | 2007 |
| Internal kinematics of the Fornax dwarf spheroidal galaxy MG Walker, M Mateo, EW Olszewski, R Bernstein, X Wang, M Woodroofe The Astronomical Journal 131 (4), 2114, 2006 | 255 | 2006 |
| Generalized scalar-on-image regression models via total variation X Wang, H Zhu, Alzheimer’s Disease Neuroimaging Initiative Journal of the American Statistical Association 112 (519), 1156-1168, 2017 | 103 | 2017 |
| Optimal penalized function-on-function regression under a reproducing kernel Hilbert space framework X Sun, P Du, X Wang, P Ma Journal of the American Statistical Association 113 (524), 1601-1611, 2018 | 68 | 2018 |
| On the asymptotics of penalized spline smoothing X Wang, J Shen, D Ruppert Electronic Journal of Statistics 5, 1-17, 2011 | 60 | 2011 |
| Classification of short single-lead electrocardiograms (ECGs) for atrial fibrillation detection using piecewise linear spline and XGBoost Y Chen, X Wang, Y Jung, V Abedi, R Zand, M Bikak, M Adibuzzaman Physiological measurement 39 (10), 104006, 2018 | 58 | 2018 |
| Isotonic smoothing spline regression X Wang, F Li Journal of Computational and Graphical Statistics 17 (1), 21-37, 2008 | 55 | 2008 |
| Nonparametric estimation of the shape function in a Gamma process for degradation data X Wang Canadian Journal of Statistics 37 (1), 102-118, 2009 | 53 | 2009 |
| A pseudo-likelihood estimation method for nonhomogeneous gamma process model with random effects X Wang Statistica Sinica, 1153-1163, 2008 | 52 | 2008 |
| D-CCA: A decomposition-based canonical correlation analysis for high-dimensional datasets H Shu, X Wang, H Zhu Journal of the American Statistical Association 115 (529), 292-306, 2020 | 50 | 2020 |
| Estimating dark matter distributions X Wang, M Woodroofe, MG Walker, M Mateo, E Olszewski The Astrophysical Journal 626, 145, 2005 | 44 | 2005 |
| Smoothing splines with varying smoothing parameter X Wang, P Du, J Shen Biometrika 100 (4), 955-970, 2013 | 40 | 2013 |
| Optimal estimation for the functional Cox model S Qu, JL Wang, X Wang Annals of Statistics 44 (4), 1708-1738, 2016 | 37 | 2016 |
| Penalized likelihood functional regression P Du, X Wang Statistica Sinica, 1017-1041, 2014 | 37 | 2014 |
| Nonparametric estimation of spatial and space-time covariance function IK Choi, B Li, X Wang Journal of Agricultural, Biological, and Environmental Statistics 18, 611-630, 2013 | 36 | 2013 |
| Semiparametric additive transformation model under current status data G Cheng, X Wang | 35 | 2011 |
| Unbiased contrastive divergence algorithm for training energy-based latent variable models Y Qiu, L Zhang, X Wang International Conference on Learning Representations, 2019 | 29 | 2019 |
| Nonlinear variable selection via deep neural networks Y Chen, Q Gao, F Liang, X Wang Journal of Computational and Graphical Statistics 30 (2), 484-492, 2021 | 28 | 2021 |
Michael WoodroofeProfessor of Mathematic and Statistics, University of MichiganVerified email at umich.edu
