Generalized likelihood ratio statistics and Wilks phenomenon J Fan, C Zhang, J Zhang The Annals of statistics 29 (1), 153-193, 2001 | 840 | 2001 |
The estimation of prediction error: covariance penalties and cross-validation B Efron Journal of the American Statistical Association 99 (467), 619-632, 2004 | 619 | 2004 |
A reexamination of diffusion estimators with applications to financial model validation J Fan, C Zhang Journal of the American Statistical Association 98 (461), 118-134, 2003 | 226 | 2003 |
Time-dependent diffusion models for term structure dynamics J Fan, J Jiang, C Zhang, Z Zhou Statistica Sinica, 965-992, 2003 | 144 | 2003 |
Calibrating the degrees of freedom for automatic data smoothing and effective curve checking C Zhang Journal of the American Statistical Association 98 (463), 609-628, 2003 | 64 | 2003 |
Bump hunting with non-Gaussian kernels P Hall, MC Minnotte, C Zhang The Annals of statistics 32 (5), 2124-2141, 2004 | 54 | 2004 |
Multiple testing via FDR L for large-scale imaging data C Zhang, J Fan, T Yu The Annals of statistics 39 (1), 613-642, 2011 | 53 | 2011 |
A power comparison between nonparametric regression tests C Zhang, H Dette Statistics & Probability Letters 66 (3), 289-301, 2004 | 53 | 2004 |
Penalized Bregman divergence for large-dimensional regression and classification C Zhang, Y Jiang, Y Chai Biometrika 97 (3), 551-566, 2010 | 35 | 2010 |
Interval prediction for traffic time series using local linear predictor H Sun, C Zhang, B Ran Proceedings. The 7th International IEEE Conference on Intelligent …, 2004 | 32 | 2004 |
Semiparametric detection of significant activation for brain fMRI C Zhang, T Yu The Annals of statistics 36 (4), 1693-1725, 2008 | 31 | 2008 |
Single-index modulated multiple testing L Du, C Zhang The Annals of statistics 42 (4), 1262-1311, 2014 | 30 | 2014 |
Multiple testing under dependence via graphical models J Liu, C Zhang, D Page The Annals of Applied Statistics 10 (3), 1699-1724, 2016 | 29 | 2016 |
New aspects of Bregman divergence in regression and classification with parametric and nonparametric estimation C Zhang, Y Jiang, Z Shang The Canadian Journal of Statistics 37 (1), 119-139, 2009 | 29 | 2009 |
Graphical-model based multiple testing under dependence, with applications to genome-wide association studies J Liu, P Peissig, C Zhang, E Burnside, C McCarty, D Page Uncertainty in artificial intelligence: proceedings of the... conference …, 2012 | 27 | 2012 |
Random threshold driven tail dependence measures with application to precipitation data analysis Z Zhang, C Zhang, Q Cui Statistica Sinica, 685-709, 2017 | 26 | 2017 |
Adaptive tests of regression functions via multiscale generalized likelihood ratios CM Zhang Canadian Journal of Statistics 31 (2), 151-171, 2003 | 26 | 2003 |
A comparative study of one‐level and two‐level semiparametric estimation of hemodynamic response function for fMRI data CM Zhang, Y Jiang, T Yu Statistics in Medicine 26 (21), 3845-3861, 2007 | 22 | 2007 |
Estimation and confidence regions for multi‐dimensional effective dose J Li, EV Nordheim, C Zhang, CE Lehner Biometrical Journal: Journal of Mathematical Methods in Biosciences 50 (1 …, 2008 | 16 | 2008 |
Simultaneous confidence intervals for semiparametric logistics regression and confidence regions for the multi-dimensional effective dose J Li, C Zhang, KA Doksum, EV Nordheim Statistica Sinica, 637-659, 2010 | 15 | 2010 |