Hu Yang

发表

Ruin problems in a discrete Markov risk model

Hu Yang, Zhimin Zhang, Chunmei Lan, 2009 .

Efficiency matrix and the partial ordering of estimate

Hu Yang, 1996 .

Nonnegative estimation and variable selection under minimax concave penalty for sparse high-dimensional linear regression models

Ning Li, Hu Yang, 2019, Statistical Papers.

An alternative stochastic restricted Liu estimator in linear regression

Hu Yang, Jianwen Xu, 2009 .

Quantile regression for robust estimation and variable selection in partially linear varying-coefficient models

Hu Yang, Jing Yang, Fang Lu, 2017 .

On the absolute ruin in a MAP risk model with debit interest

Hailiang Yang, Hu Yang, Zhimin Zhang, 2011, Advances in Applied Probability.

Some results for the weighted Drazin inverse of a modified matrix

A. Shakoor, Hu Yang, Ilyas Ali, 2014 .

Improved results on the Drazin inverse of a 2 x 2 block matrix in terms of Banachiewicz-Schur forms

Hu Yang, Xifu Liu, 2013 .

A robust and efficient estimation and variable selection method for partially linear models with large-dimensional covariates

Ning Li, Hu Yang, Jing Yang, 2018, Statistical Papers.

Nonnegative estimation and variable selection via adaptive elastic-net for high-dimensional data

Ning Li, Hu Yang, Jing Yang, 2019, Commun. Stat. Simul. Comput..

Conditioning theory of the equality constrained quadratic programming and its applications

Hu Yang, Shaoxin Wang, 2019, Linear and Multilinear Algebra.

Matrix Euclidean norm Wielandt inequalities and their applications to statistics

Hu Yang, Litong Wang, 2012 .

Penalized composite quantile estimation for censored regression model with a diverging number of parameters

Hu Yang, Huilan Liu, 2017 .

Penalized inverse probability weighted estimators for weighted rank regression with missing covariates

Hu Yang, Jing Lv, Chaohui Guo, 2016 .

Inverse probability weighted estimators for single-index models with missing covariates

Hu Yang, Ting Li, 2016 .

Sparse Laplacian Shrinkage with the Graphical Lasso Estimator for Regression Problems

Hu Yang, Siwei Xia, Yuehan Yang, 2019, TEST.

Perturbation analysis for the symplectic QR factorization

Hu Yang, Hanyu Li, Hua Shao, 2015 .

Two-sided generalized hyperbolic QR factorization and its perturbation analysis

Hu Yang, Hanyu Li, Hua Shao, 2013 .

Rates of convergence of the adaptive elastic net and the post-selection procedure in ultra-high dimensional sparse models

Hu Yang, Yuehan Yang, 2019, Communications in Statistics - Theory and Methods.

Model Selection Consistency of Lasso for Empirical Data

Hu Yang, Yuehan Yang, 2015, Chinese Annals of Mathematics, Series B.

On penalized maximum likelihood estimation of approximate factor models

Hu Yang, Shaoxin Wang, C. Yao, 2016 .

Model averaging marginal regression for high dimensional conditional quantile prediction

Hu Yang, Jing Lv, Chaohui Guo, 2020, Statistical Papers.

Quantile regression for robust inference on varying coefficient partially nonlinear models

Hu Yang, Jing Yang, Fang Lu, 2018, Journal of the Korean Statistical Society.

Statistical inference on asymptotic properties of two estimators for the partially linear single-index models

Hu Yang, Jing Yang, Fang Lu, 2018 .

On the condition number of equality constrained indefinite least squares problem

Hu Yang, Shaoxin Wang, 2016 .

Condition numbers for the nonlinear matrix equation and their statistical estimation

Hu Yang, Hanyu Li, Shaoxin Wang, 2015 .

Joint estimation for single index mean–covariance models with longitudinal data

Hu Yang, Jing Lv, Jibo Wu, 2016 .

Some representations for the Drazin inverse of a modified matrix

A. Shakoor, Hu Yang, Ilyas Ali, 2014 .

Some Results on the Drazin Inverse of a Modified Matrix with New Conditions

A. Shakoor, Hu Yang, Ilyas Ali, 2014 .

New perturbation bounds for the subunitary polar factors

Hu Yang, Pingping Zhang, Hanyu Li, 2013 .

New perturbation bounds for nonnegative and positive polar factors

Hu Yang, Hanyu Li, Hua Shao, 2013 .

THE DRAZIN INVERSES OF THE SUM OF TWO MATRICES AND BLOCK MATRIX

A. Shakoor, Hu Yang, Ilyas Ali, 2013 .

Some results on the partial orderings of block matrices

Hu Yang, Xifu Liu, 2011 .

Multiplicative perturbation bounds for weighted unitary polar factor

Hu Yang, Hanyu Li, Hua Shao, 2010 .

Further Results on the Reverse Order Law for -Inverse and -Inverse of a Matrix Product

Hu Yang, Deqiang Liu, 2010 .

A note on an unusual type of generalized polar decomposition

Hu Yang, Hanyu Li, 2009 .

Ridge Estimation to the Restricted Linear Model

Hu Yang, Hu Yang, Zhen Zhong, 2007 .

Improvements in the upper bounds for the spread of a matrix

Hu Yang, Pingping Zhang, 2015 .

Two step estimations for a single-index varying-coefficient model with longitudinal data

Hu Yang, Jing Lv, Chaohui Guo, 2018 .

Robust estimation and variable selection for varying-coefficient single-index models based on modal regression

Hu Yang, Jing Lv, Chaohui Guo, 2016 .

Robust variable selection in modal varying-coefficient models with longitudinal

Hu Yang, Jing Lv, Chaohui Guo, 2015 .

Performances of the Positive-Rule Stein-Type Ridge Estimator in a Linear Regression Model with Spherically Symmetric Error Distributions

Hu Yang, Jianwen Xu, 2013 .

WLAD-LASSO method for robust estimation and variable selection in partially linear models

Ning Li, Hu Yang, 2018 .

Penalized and constrained LAD estimation in fixed and high dimension

Hu Yang, Xiaofei Wu, R. Liang, 2021, Statistical Papers.

Model Selection Consistency of Lasso for Empirical Data

Hu Yang, Yuehan Yang, 2015, Chinese Annals of Mathematics, Series B.

Performance of the preliminary test two-parameter estimators based on the conflicting test statistics in a regression model with Student's t error

Hu Yang, Xinfeng Chang, 2012 .

More on the unbiased ridge regression estimation

Hu Yang, Jibo Wu, 2016 .

Robust variable selection for generalized linear models with a diverging number of parameters

Hu Yang, Jing Lv, Chaohui Guo, 2017 .

Refinements of the Heron and Heinz means inequalities for matrices

A. Shakoor, Hu Yang, Ilyas Ali, 2014 .

Generalized Norms Inequalities for Absolute Value Operators

A. Shakoor, Hu Yang, Ilyas Ali, 2014 .

Outlier Mining Based on Principal Component Estimation

Hu Yang, Ting Yang, 2005 .

Variable Selection for Semiparametric Varying Coefficient Partially Linear Errors-in-Variables (EV) Model with Missing Response

Hu Yang, Xiaochao Xia, 2015 .

Adaptive elastic net and Separate Selection from Least Squares for ultra-high dimensional regression models

Hu Yang, Yuehan Yang, 2014, 1410.3566.

Robust variable selection of varying coefficient partially nonlinear model based on quantile regression

G. Tian, Hu Yang, Jing Yang, 2019, Statistics and Its Interface.

Elastic Net Nonparallel Hyperplane Support Vector Machine and Its Geometrical Rationality

Hu Yang, Kai Qi, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Estimation in Singular Linear Models with Stochastic Linear Restrictions and Linear Equality Restrictions

Hu Yang, Jibo Wu, 2011 .

Preliminary Test Estimators Induced by Three Large Sample Tests for Stochastic Constraints in a Regression Model with Multivariate Student-t Error

Hu Yang, Xinfeng Chang, 2014 .

Restricted estimation and testing of hypothesis in linear measurement errors models

Hu Yang, Ting Li, Wenxue Li, 2016 .

Some Matrix Norm Kantorovich Inequalities and Their Applications

Hu Yang, Jibo Wu, 2011 .

Semiparametric model averaging for high dimensional conditional quantile prediction

Hu Yang, Chaohui Guo, Jingwen Tu, 2018, 1809.01364.

On the penalized maximum likelihood estimation of high-dimensional approximate factor model

Hu Yang, Shaoxin Wang, Chaoli Yao, 2016, Comput. Stat..

Robust modal estimation and variable selection for single-index varying-coefficient models

Hu Yang, Jing Yang, Hu Yang, 2017, Commun. Stat. Simul. Comput..

Quantile regression and variable selection for single-index varying-coefficient models

Hu Yang, Jing Yang, J. Yang, 2017, Commun. Stat. Simul. Comput..

A robust and efficient estimation and variable selection method for partially linear single-index models

Hu Yang, Jing Yang, Hu Yang, 2014, J. Multivar. Anal..

Joint rescaled asymmetric least squared nonparallel support vector machine with a stochastic quasi-Newton based algorithm

Hu Yang, Kai Qi, 2022, Applied Intelligence.

Feature screening for generalized varying coefficient models with application to dichotomous responses

Jialiang Li, Hu Yang, Xiaochao Xia, 2016, Comput. Stat. Data Anal..

Robust variable selection in semiparametric mean-covariance regression for longitudinal data analysis

Jing Lv, Hu Yang, Chaohui Guo, 2014, Appl. Math. Comput..

On a nonparametric estimator for ruin probability in the classical risk model

Hailiang Yang, Zhimin Zhang, Hu Yang, 2014 .

Title On a nonparametric estimator for ruin probability in the classicalrisk model

Hailiang Yang, Hu Yang, Zhimin Zhang, 2012 .

A moving average Cholesky factor model in covariance modeling for composite quantile regression with longitudinal data

Jing Lv, Hu Yang, Chaohui Guo, 2017, Comput. Stat. Data Anal..

Capped Asymmetric Elastic Net Support Vector Machine for Robust Binary Classification

Hu Yang, Kai Qi, 2023, Int. J. Intell. Syst..

A new adaptive weighted imbalanced data classifier via improved support vector machines with high-dimension nature

Kai Qi, Hu Yang, Qingyu Hu, 2019, Knowl. Based Syst..

Weighted Stochastic Restricted Estimation in Linear Measurement Error Models

Hu Yang, Wenxue Li, Hu Yang, 2013, Commun. Stat. Simul. Comput..

The adaptive L1-penalized LAD regression for partially linear single-index models

Jing Yang, Hu Yang, Hu Yang, 2014 .

Preliminary test Liu estimators based on the conflicting W, LR and LM tests in a regression model with multivariate Student-t error

Jianwen Xu, Hu Yang, Hu Yang, 2011 .

More on the Preliminary Test Estimator in Almost Unbiased Liu Regression

Hu Yang, Jianwen Xu, Yalian Li, 2011 .

Further Results on the Reverse Order Law for { 1 , 3 }-Inverse and { 1 , 4 }-Inverse of a Matrix Product

Hu Yang, Deqiang Liu, 2010 .

Gerber-Shiu analysis in a perturbed risk model with dependence between claim sizes and interclaim times

Zhimin Zhang, Hu Yang, Hu Yang, 2011, J. Comput. Appl. Math..

Variable selection in partially linear additive models for modal regression

Jing Lv, Hu Yang, Chaohui Guo, 2017, Commun. Stat. Simul. Comput..

Penalized LAD Regression for Single-index Models

Jing Lv, Hu Yang, Chaohui Guo, 2016, Commun. Stat. Simul. Comput..

On the Principal Component Liu-type Estimator in Linear Regression

Hu Yang, Jibo Wu, Hu Yang, 2015, Commun. Stat. Simul. Comput..

On the Stochastic Restricted Almost Unbiased Estimators in Linear Regression Model

Hu Yang, Jibo Wu, Hu Yang, 2014, Commun. Stat. Simul. Comput..

On the Preliminary Test Backfitting and Speckman Estimators in Partially Linear Models and Numerical Comparisons

Hu Yang, Jianwen Xu, Hu Yang, 2012, Commun. Stat. Simul. Comput..

Smoothing combined generalized estimating equations in quantile partially linear additive models with longitudinal data

Jing Lv, Hu Yang, Chaohui Guo, 2016, Comput. Stat..

On the Performance of the Jackknifed Modified Ridge Estimator in the Linear Regression Model with Correlated or Heteroscedastic Errors

Hu Yang, Yalian Li, 2011 .

On a discrete risk model with two-sided jumps

Zhimin Zhang, Hu Yang, Hu Yang, 2010, J. Comput. Appl. Math..

The reverse order law for {1, 3, 4}-inverse of the product of two matrices

Hu Yang, Deqiang Liu, Hu Yang, 2010, Appl. Math. Comput..

Regularized estimation for the least absolute relative error models with a diverging number of covariates

Hu Yang, Xiaochao Xia, Zhi Liu, 2016, Comput. Stat. Data Anal..

Local Influence Analysis for The Ridge Regression Under Stochastic Linear Restrictions

Hu Yang, Lian Yang, 2014 .

A flexible condition number for weighted linear least squares problem and its statistical estimation

Hu Yang, Shaoxin Wang, Hu Yang, 2016, J. Comput. Appl. Math..

Penalized and constrained LAD estimation in fixed and high dimension

Hu Yang, Xiaofei Wu, Rongmei Liang, 2021, Statistical papers.

A two-parameter estimator in the negative binomial regression model

Hu Yang, Jiewu Huang, 2014 .

A new stochastic mixed ridge estimator in linear regression model

Hu Yang, Hu Yang, Yalian Li, 2010 .

More on the Bias and Variance Comparisons of the Restricted Almost Unbiased Estimators

Jianwen Xu, Hu Yang, Hu Yang, 2011 .

A New Two-Parameter Estimator in Linear Regression

Xinfeng Chang, Hu Yang, Hu Yang, 2010 .

Robust variable selection and parametric component identification in varying coefficient models

Hu Yang, Jing Lv, Chaohui Guo, 2016 .

SCAD penalized rank regression with a diverging number of parameters

Jing Lv, Hu Yang, Chaohui Guo, 2015, J. Multivar. Anal..

Assessing local influence for elliptical linear models under equality constraints

Hu Yang, Lian Yang, 2016 .

A note on the condition number of the scaled total least squares problem

Hanyu Li, Hu Yang, Shaoxin Wang, 2017, Calcolo.

On the condition number theory of the equality constrained indefinite least squares problem

Hanyu Li, Hu Yang, Shaoxin Wang, 2016, 1611.05949.

Perturbation bounds for weighted polar decomposition in the weighted unitarily invariant norm

Hu Yang, Hanyu Li, Hu Yang, 2008, Numer. Linear Algebra Appl..

ON WEIGHTED PARTIAL ORDERINGS ON THE SET OF RECTANGULAR COMPLEX MATRICES

Hu Yang, Hanyu Li, Hua Shao, 2009 .

Generalized varying index coefficient models

Jing Lv, Hu Yang, Chaohui Guo, 2016, J. Comput. Appl. Math..

Adaptive Unified Biased Estimators of Parameters in Linear Model

Hu Yang, Lixing Zhu, 2004 .

The Structured Smooth Adjustment for Square-root Regularization: Theory, algorithm and applications

Wanling Xie, Hu Yang, Hu Yang, 2020, Knowl. Based Syst..

Variable selection for partially time-varying coefficient error-in-variables models

Hu Yang, Xiaochao Xia, 2015 .

Eigenvalue Condition and model selection consistency of lasso

Hu Yang, Yuehan Yang, 2015 .

A new Liu-type estimator in linear regression model

Hu Yang, Yalian Li, 2012 .

A note on multiplicative perturbation bounds for the Moore–Penrose inverse

Hu Yang, Pingping Zhang, 2014 .

Mixed-type reverse-order laws of (AB)(1, 2, 3) and (AB)(1, 2, 4)

Hu Yang, Xifu Liu, Hu Yang, 2011, Appl. Math. Comput..

Smooth-threshold estimating equations for varying coefficient partially nonlinear models based on orthogonality-projection method

Hu Yang, Jing Yang, J. Yang, 2016, J. Comput. Appl. Math..

Variable selection for generalized varying coefficient models with longitudinal data

Chaohui Guo, Hu Yang, Jing Lv, 2016 .

On the Stein-Type Liu Estimator and Positive-Rule Stein-Type Liu Estimator in Multiple Linear Regression Models

Hu Yang, Jianwen Xu, 2012 .

Preliminary test almost unbiased ridge estimator in a linear regression model with multivariate Student-t errors

Hu Yang, Jianwen Xu, 2011 .

A new ridge-type estimator in stochastic restricted linear regression

Hu Yang, Hu Yang, Yalian Li, 2011 .

Robust variable selection in high-dimensional varying coefficient models based on weighted composite quantile regression

Chaohui Guo, Hu Yang, Jing Lv, 2017 .

Robust estimation and variable selection in censored partially linear additive models

Xiaochao Xia, Hu Yang, Hu Yang, 2017 .

Rank-based shrinkage estimation for identification in semiparametric additive models

Hu Yang, Jing Yang, Fang Lu, 2019 .

Gerber-Shiu discounted penalty function in a Sparre Andersen model with multi-layer dividend strategy

Zhimin Zhang, Hu Yang, Hu Yang, 2008 .

A robust penalized estimation for identification in semiparametric additive models

Hu Yang, Jing Yang, 2016 .

Robust estimation for varying index coefficient models

Jing Lv, Hu Yang, Chaohui Guo, 2015, Computational Statistics.

Adaptive and reversed penalty for analysis of high-dimensional correlated data

Yuehan Yang, Hu Yang, Hu Yang, 2021 .

Smooth Adjustment for Correlated Effects

Hu Yang, Yuehan Yang, 2019, 1901.05229.

Robust smooth-threshold estimating equations for generalized varying-coefficient partially linear models based on exponential score function

Jing Lv, Hu Yang, Chaohui Guo, 2015, J. Comput. Appl. Math..