Tiejun Tong

发表

A statistical normalization method and differential expression analysis for RNA-seq data between different species

Yan Zhou, Jiadi Zhu, Tiejun Tong, 2018, BMC Bioinformatics.

Improved mean estimation and its application to diagonal discriminant analysis

Liang Chen, Hongyu Zhao, Tiejun Tong, 2012, Bioinform..

Learning to improve medical decision making from imbalanced data without a priori cost

Jiming Liu, Xiang Wan, William Kwok-Wai Cheung, 2014, BMC Medical Informatics and Decision Making.

Estimation of variances and covariances for high‐dimensional data: a selective review

Cheng Wang, Tiejun Tong, Yuedong Wang, 2014 .

NBLDA: negative binomial linear discriminant analysis for RNA-Seq data

Hongyu Zhao, Xiang Wan, Kai Dong, 2015, BMC Bioinformatics.

GD-RDA: A New Regularized Discriminant Analysis for High-Dimensional Data

Yan Zhou, Xiang Wan, Baoxue Zhang, 2017, J. Comput. Biol..

Block-diagonal discriminant analysis and its bias-corrected rules

Tiejun Tong, Michael Ng, Herbert Pang, 2013, Statistical applications in genetics and molecular biology.

Optimal Estimation of Derivatives in Nonparametric Regression

Marc G. Genton, Tiejun Tong, Wenlin Dai, 2016, J. Mach. Learn. Res..

James-Stein type estimators of variances

Homin Jang, Tiejun Tong, Yuedong Wang, 2012, J. Multivar. Anal..

Inferring Epidemic Network Topology from Surveillance Data

Jiming Liu, Tiejun Tong, Xiang Wan, 2014, PloS one.

Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression

Ping Yu, Tiejun Tong, Wenwu Wang, 2019, J. Mach. Learn. Res..

Classifying next‐generation sequencing data using a zero‐inflated Poisson model

Yan Zhou, Xiang Wan, Baoxue Zhang, 2018, Bioinform..

Non-parametric shrinkage mean estimation for quadratic loss functions with unknown covariance matrices

Cheng Wang, Longbing Cao, Tiejun Tong, 2014, J. Multivar. Anal..

Sequential profile Lasso for ultra-high-dimensional partially linear models

Gaorong Li, Tiejun Tong, Yujie Li, 2017 .

Gene Selection Using Iterative Feature Elimination Random Forests for Survival Outcomes

Tiejun Tong, Stephen L. George, Herbert Pang, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Discriminant Analysis and Normalization Methods for Next-Generation Sequencing Data

Yan Zhou, Junhui Wang, Tiejun Tong, 2018 .

Shrinkage-based diagonal Hotelling's tests for high-dimensional small sample size data

Kai Dong, Marc G. Genton, Tiejun Tong, 2016, J. Multivar. Anal..

Optimal difference-based estimation for partially linear models

Yuejin Zhou, Tiejun Tong, Yebin Cheng, 2018, Comput. Stat..

Considering dependence among genes and markers for false discovery control in eQTL mapping

Liang Chen, Hongyu Zhao, Tiejun Tong, 2008, Bioinform..

Optimal Nearest Shrunken Centroids Method for High-dimensional Data Classification

Tiejun Tong, Hmh Pang, 2009 .

Profile forward regression screening for ultra-high dimensional semiparametric varying coefficient partially linear models

Yujie Li, Heng Lian, Gaorong Li, 2017, J. Multivar. Anal..

Meta-analysis with zero-event studies: a comparative study with application to COVID-19 data

Tiejun Tong, Zongliang Hu, Enxuan Lin, 2021, Military Medical Research.

Variable selection for functional linear models with strong heredity constraint

Tiejun Tong, Sanying Feng, Menghan Zhang, 2021 .

Varying Coefficient Panel Data Model with Interactive Fixed Effects

Gaorong Li, Tiejun Tong, Heng Peng, 2021, Statistica Sinica.

Direct local linear estimation for Sharpe ratio function

Tiejun Tong, Hongmei Lin, Wenchao Xu, 2021, Canadian Journal of Statistics.

Debiased learning and forecasting of first derivative

Tiejun Tong, Wenwu Wang, Jun Lu, 2022, Knowl. Based Syst..

IQ: Intrinsic measure for quantifying the heterogeneity in meta-analysis

Tiejun Tong, Enxuan Lin, Ke Yang, 2021, 2109.05755.

Robust estimation of nonparametric function via addition sequence

Tiejun Tong, WenWu Wang, Wei Shen, 2021 .

Variance estimation in nonparametric regression with jump discontinuities

Tiejun Tong, Wenlin Dai, T. Tong, 2014 .

Shrinkage‐based Diagonal Discriminant Analysis and Its Applications in High‐Dimensional Data

Tiejun Tong, Hongyu Zhao, Herbert Pang, 2009, Biometrics.

SIMEX estimation for single-index model with covariate measurement error

Gaorong Li, Tiejun Tong, Yiping Yang, 2016, 1611.06653.

Bias‐Corrected Diagonal Discriminant Rules for High‐Dimensional Classification

Tiejun Tong, Hongyu Zhao, Hongyu Zhao, 2010, Biometrics.

Optimal variance estimation without estimating the mean function

Tiejun Tong, Yanyuan Ma, Yuedong Wang, 2013, 1312.3046.

SHRINKAGE ESTIMATION OF LARGE DIMENSIONAL PRECISION MATRIX USING RANDOM MATRIX THEORY

Lixing Zhu, Tiejun Tong, Guangming Pan, 2015 .

Difference-based variance estimation in nonparametric regression with repeated measurement data

Lixing Zhu, Tiejun Tong, Yanyuan Ma, 2015 .

OPTIMAL DIFFERENCE-BASED VARIANCE ESTIMATION IN HETEROSCEDASTIC NONPARAMETRIC REGRESSION

Tiejun Tong, Yuejin Zhou, Yebin Cheng, 2015 .

Optimal Shrinkage Estimation of Variances With Applications to Microarray Data Analysis

Tiejun Tong, Yuedong Wang, Yuedong Wang, 2007 .

Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range

Tiejun Tong, X. Wan, T. Tong, 2015, Statistical methods in medical research.

Estimating residual variance in nonparametric regression using least squares

Tiejun Tong, Yuedong Wang, Yuedong Wang, 2005 .