Yi Li

发表

A New Class of Dantzig Selectors for Censored Linear Regression Models

L. Dicker, Yi Li, S. Zhao, 2010 .

Score test variable screening

Yi Li, S. Zhao, 2014, Biometrics.

Variable Selection with False Discovery Control

Jeffrey E. Lee, Jiashun Jin, Hongliang Liu, 2015 .

False discovery control for penalized variable selections with high-dimensional covariates

Xiaoping Zhou, X. Wen, Yi Li, 2018, Statistical applications in genetics and molecular biology.

Estimation of time-varying transmission and removal rates underlying epidemiological processes: a new statistical tool for the COVID-19 pandemic

Yi Li, H. Hong, 2020, 2004.05730.

Penalized Smoothed Partial Rank Estimator for the Nonparametric Transformation Survival Model with High-dimensional Covariates

Wei Dai, Yi Li, 2018 .

Drawing inferences for high‐dimensional linear models: A selection‐assisted partial regression and smoothing approach

M. Banerjee, Yi Li, Ji Zhu, 2019, Biometrics.

Semiparametric regression of mean residual life with censoring and covariate dimension reduction

Yanyuan Ma, Yi Li, Ge Zhao, 2020, 2011.04067.

Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices

Yi Li, 2017 .

SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting

Yanming Li, Kevin He, Jian Kang, 2018, R J..

Latent Gaussian Mixture Models for Nationwide Kidney Transplant Center Evaluation

Yi Li, Yehua Li, Lanfeng Pan, 2017, 1703.03753.

De-biased lasso for stratified Cox models with application to the national kidney transplant data

B. Nan, Yi Li, Lu Xia, 2022, 2211.08868.

Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach

Zhe Fei, Yi Li, Yi Li, 2019, J. Mach. Learn. Res..

Cluster non‐Gaussian functional data

Huazhen Lin, Qingzhi Zhong, Yi Li, 2020, Biometrics.

Estimation of time-varying reproduction numbers underlying epidemiological processes: A new statistical tool for the COVID-19 pandemic

Yi Li, Hyokyoung G. Hong, Yi Li, 2020, PloS one.

Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates

Yi Li, Ji Zhu, Jiashun Jin, 2015, Bioinform..

Multiclass linear discriminant analysis with ultrahigh‐dimensional features

Yi Li, Yanming Li, Hyokyoung G Hong, 2019, Biometrics.

Classification with Ultrahigh-Dimensional Features pdf

Yi Li, Jian Kang, Ji Zhu, 2016, ArXiv.

Minorization-Maximization-based Steepest Ascent for Large-scale Survival Analysis with Time-Varying Effects: Application to the National Kidney Transplant Dataset

Jian Kang, Ji Zhu, Kevin He, 2019, 1912.12353.

Building generalized linear models with ultrahigh dimensional features: A sequentially conditional approach

Qi Zheng, Yi Li, Hyokyoung G Hong, 2019, Biometrics.

Inference for High-Dimensional Censored Quantile Regression

Zhe Fei, Hyokyoung G. Hong, Yi Li, 2021, Journal of the American Statistical Association.

Debiased lasso for generalized linear models with a diverging number of covariates

Lu Xia, Bin Nan, Yi Li, 2021, Biometrics.

De-biased Lasso for Generalized Linear Models with A Diverging Number of Covariates

B. Nan, Yi Li, Lu Xia, 2021 .

A Revisit to De-biased Lasso for Generalized Linear Models.

Lu Xia, Yi Li, Bin Nan, 2020, 2006.12778.

Principled sure independence screening for Cox models with ultra-high-dimensional covariates

Yi Li, Sihai Dave Zhao, Yi Li, 2012, J. Multivar. Anal..

Conditional screening for ultra-high dimensional covariates with survival outcomes

Yi Li, Jian Kang, Hyokyoung G Hong, 2016, Lifetime data analysis.

High-Dimensional Gaussian Graphical Regression Models with Covariates

Yi Li, Jingfei Zhang, 2020, Journal of the American Statistical Association.

Gaussian Graphical Regression Models with High Dimensional Responses and Covariates

Yi Li, Jingfei Zhang, Yi Li, 2020 .

Cluster analysis with regression of non‐Gaussian functional data on covariates

Heng Peng, Yi Li, Gang-Zhi Fan, 2021, Canadian Journal of Statistics.

Analysis of multivariate non-gaussian functional data: A semiparametric latent process approach

Yi Li, Huazhen Lin, Jiakun Jiang, 2021, J. Multivar. Anal..

A semiparametrically efficient estimator of single-index varying coefficient Cox proportional hazards models

M. Tan, Yi Li, Huazhen Lin, 2016 .

Weak signals in high-dimension regression: detection, estimation and prediction.

Hyokyoung G Hong, S Ejaz Ahmed, Yi Li, 2019, Applied stochastic models in business and industry.

Stratified Cox models with time‐varying effects for national kidney transplant patients: A new blockwise steepest ascent method

Yi Li, Ji Zhu, Jian Kang, 2021, Biometrics.

Covariance-Insured Screening

Yi Li, Jian Kang, Ji Zhu, 2018, Comput. Stat. Data Anal..

A Semiparametrically Efficient Estimator of the Time‐Varying Effects for Survival Data with Time‐Dependent Treatment

Yi Li, Huazhen Lin, Z. Fei, 2016, Scandinavian journal of statistics, theory and applications.

A global partial likelihood estimator of the time-varying effects for time-dependent treatment

Zhe Fei, Huazhen Lin, Yi Li, 2014 .

Estimating a unitary effect summary based on combined survival and quantitative outcomes

Yi Li, Huazhen Lin, Ming T. Tan, 2013, Comput. Stat. Data Anal..

Asynchronous and error‐prone longitudinal data analysis via functional calibration

Yi Li, Yehua Li, Xinyue Chang, 2022, Biometrics.

Efficient estimation and computation in generalized varying coefficient models with unknown link and variance functions for large-scale data

Yi Li, Huazhen Lin, Lixian Pan, 2022 .

EFFICIENT ESTIMATION AND COMPUTATION IN GENERALIZED VARYING COEFFICIENT MODELS AND VARIANCE FUNCTIONS FOR LARG-SCALE DATA

Yi Li, Huazhen Lin, Lixian Pan, 2020 .

Statistical inference for Cox proportional hazards models with a diverging number of covariates

Lu Xia, Bin Nan, Yi Li, 2021, Scandinavian journal of statistics, theory and applications.

Covariate selection for multilevel models with missing data

Yi Li, Orfeu M Buxton, Miguel Marino, 2017, Stat.

Consistent Estimation of Generalized Linear Models with High Dimensional Predictors via Stepwise Regression

Qi Zheng, Hyokyoung G. Hong, Yi Li, 2020, Entropy.

Generalized linear mixed models with Gaussian mixture random effects: Inference and application

Yi Li, Yanming Li, Kevin He, 2020, J. Multivar. Anal..

Web-based Supplementary Materials for “ Score test variable screening ” by Sihai Dave Zhao and Yi Li Web Appendix A : Theoretical properties of score test screening

Yi Li, S. Zhao, 2014 .

Functional data analysis with covariate‐dependent mean and covariance structures

Yi Li, Huazhen Lin, Li Liu, 2022, Biometrics.

Integrated powered density: Screening ultrahigh dimensional covariates with survival outcomes

David C Christiani, Yi Li, Hyokyoung G Hong, 2018, Biometrics.

Feature selection of ultrahigh-dimensional covariates with survival outcomes: a selective review

Yi Li, H. Hong, 2017, Applied mathematics : a journal of Chinese universities.

More accurate semiparametric regression in pharmacogenomics.

Yaohua Rong, Sihai Dave Zhao, Ji Zhu, 2018, Statistics and its interface.

Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates

Jeffrey E. Lee, Jiashun Jin, Hongliang Liu, 2015, Bioinform..

Building generalized linear models with ultrahigh dimensional features: A sequentially conditional approach

Yi Li, H. Hong, Qi Zheng, 2019, Biometrics.

Simultaneous selection and inference for varying coefficients with zero regions: a soft‐thresholding approach

C. Brummett, Yi Li, Yuan Yang, 2023, Biometrics.

Supervised structural learning of semiparametric regression on high‐dimensional correlated covariates with applications to eQTL studies

Yanyuan Ma, Yi Li, Huazhen Lin, 2023, Statistics in medicine.

A combined moment equation approach for spatial autoregressive models

Yi Li, Huazhen Lin, Jiaxin Liu, 2023, Canadian Journal of Statistics.

Semiparametric latent variable transformation models for multiple mixed outcomes

Ling Zhou, Yi Li, Robert M. Elashoff, 2014 .

Drawing inferences for high‐dimensional linear models: A selection‐assisted partial regression and smoothing approach

M. Banerjee, Yi Li, Ji Zhu, 2019, Biometrics.

Concordance Measure-based Feature Screening and Variable Selection

Yi Li, Huazhen Lin, Yunbei Ma, 2018 .

Web-based Supplementary Materials for Integrated Powered Density: Screening Ultrahigh Dimensional Covariates with Survival Outcomes

D. Christiani, Yi Li, Xuerong Chen, 2017 .