Ming-Yen Cheng

发表

Two-step sparse boosting for high-dimensional longitudinal data with varying coefficients

Jialiang Li, Mu Yue, Ming-Yen Cheng, 2019, Comput. Stat. Data Anal..

Special Issue on Biostatistics

Yi Li, Ming-Yen Cheng, Michele Guindani, 2019, Comput. Stat. Data Anal..

Illumination invariant feature extraction based on natural images statistics — Taking face images as an example

Chu-Song Chen, Ming-Yen Cheng, Yao-Hsiang Yang, 2011, CVPR 2011.

Non‐parametric and adaptive modelling of dynamic periodicity and trend with heteroscedastic and dependent errors

Hau-Tieng Wu, Yu-Chun Chen, Ming-Yen Cheng, 2014 .

Technometrics Editorial Collaborators

Ming-Yen Cheng, Hussam Alshraideh, Adel Alaeddini, 2019, Technometrics.

On the shrinkage of local linear curve estimators

Peter Hall, D. M. Titterington, Ming-Yen Cheng, 1997, Stat. Comput..

A new test for functional one-way ANOVA with applications to ischemic heart screening

Hau-Tieng Wu, Ming-Yen Cheng, Bu Zhou, 2019, Comput. Stat. Data Anal..

Forward Variable Selection for Sparse Ultra-High Dimensional Varying Coefficient Models

Toshio Honda, Ming-Yen Cheng, Jin-Ting Zhang, 2014, 1410.6556.

Robust Inference for Nonstationary Time Series with Possibly Multiple Changing Periodic Structures

Ming-Yen Cheng, Jinhong You, Shouxia Wang, 2021 .

Statistical Estimation in Generalized Multiparameter Likelihood Models

Ming-Yen Cheng, Wenyang Zhang, Wenyang Zhang, 2009 .

Calibrating the excess mass and dip tests of modality

Ming-Yen Cheng, Peter Hall, Ming-Yen Cheng, 1998 .

Conditional variance estimation in heteroscedastic regression models

Liang Peng, Ming-Yen Cheng, Lu-Hung Chen, 2009 .

Greedy forward regression for variable screening

Gaorong Li, Ming-Yen Cheng, Heng Lian, 2015, 1511.01124.

Dynamic nonparametric filtering with application to volatility estimation

Ming-Yen Cheng, Vladimir Spokoiny, Jianqing Fan, 2003 .

A bandwidth selector for local linear density estimators

Ming-Yen Cheng, Ming-Yen Cheng, 1997 .

Simple and efficient improvements of multivariate local linear regression

Liang Peng, Ming-Yen Cheng, Ming-Yen Cheng, 2006 .

Skewing methods for two-parameter locally parametric density estimation

Jianqing Fan, Ming-Yen Cheng, Peter Hall, 2000 .

REGRESSION MODELING FOR NONPARAMETRIC ESTIMATION OF DISTRIBUTION AND QUANTILE FUNCTIONS

Liang Peng, Ming-Yen Cheng, 2002 .

Estimating gradient trees

Ming-Yen Cheng, Peter Hall, John A. Hartigan, 2004 .

Efficient estimation in semivarying coefficient models for longitudinal/clustered data

Jialiang Li, Ming-Yen Cheng, Ming-Yen Cheng, 2015, 1501.00538.

Nonparametric and adaptive modeling of dynamic seasonality and trend with heteroscedastic and dependent errors

Hau-tieng Wu, Ming-Yen Cheng, Ming-Yen Cheng, 2012, 1210.4672.

Bandwidth Selection for Kernel Quantile Estimation

Ming-Yen Cheng, Shan Sun, 2006 .

On mode testing and empirical approximations to distributions

Ming-Yen Cheng, Peter Hall, P. Hall, 1998 .

Nonparametric independence screening and structure identification for ultra-high dimensional longitudinal data

Jialiang Li, Ming-Yen Cheng, Heng Peng, 2013, 1308.3942.

Minimax efficiency of local polynomial fit estimators at boundaries

Ming-Yen Cheng, J. Stephen Marron, Jianqing Fan, 1993 .

Confidence intervals for the first crossing point of two hazard functions

Peihua Qiu, Ming-Yen Cheng, Xianming Tan, 2009, Lifetime data analysis.