百晓学者学者目录

何道江

博士生导师、教授、硕士生导师,安徽师范大学

精选作品

期刊论文

2026

广义对数Moyal分布的客观Bayes分析

李强,时慧君,何道江

《系统科学与数学》

2026

Objective Bayesian Analysis for the Generalized Logistic Distribution

Mohammed K. Shakhatreh, Dao-Jiang He

Sankhya A

2026

A fully distribution-free and consistent two-sample test based on projection averaging

Huijun Shi, Daojiang He, Kai Xu

Test

2025

Designing Accelerated Degradation Tests Based on Wiener Process With a Positive Relation Between the Drift Rate and the Volatility

Dao-Jiang He, Lei He, Jinming Ren

Applied Stochastic Models in Business and Industry

2025

Bayesian inferences for an accelerated degradation model based on tweedie exponential dispersion process

Daojiang He, Shiyu Chen, Lei He, M. Cao

Statistics (Berlin)

2025

Center-Outward Ranks and Signs for Testing Conditional Quantile Independence

Kai Xu, Huijun Shi, Daojiang He

Statistica Sinica

2024

A scale-invariant test for linear hypothesis of means in high dimensions

M. Cao, Ziyang Cheng, Kai Xu, Daojiang He

Statistical Papers

2024

On summed nonparametric dependence measures in high dimensions, fixed or large samples

Kai Xu, Qing Cheng, Daojiang He

Computational Statistics & Data Analysis

2024

A Test of U-type for Goodness-of-fit in Regression Models Through Martingale Difference Divergence

Kai Xu, Yan-qin Nie, Daojiang He

Acta Mathematicae Applicatae Sinica English Series

2023

Bayesian analysis for the Shannon entropy of the Lomax distribution using noninformative priors

Guoqing Dong, Mohammed K. Shakhatreh, Dao-Jiang He

Journal of Statistical Computation and Simulation

2022

High-dimensional variable screening through kernel-based conditional mean dependence

Daojiang He, Jinjia Cheng, Kai Xu

Journal of Statistical Planning and Inference

2022

Bayesian analysis for the Lomax model using noninformative priors

Daojiang He, Dong-Chu Sun, Qing Zhu

Statistical Theory and Related Fields

2022

A high-dimensional test for the k-sample Behrens–Fisher problem

Daojiang He, Huijun Shi, Kai Xu, M. Cao

Journal of nonparametric statistics (Print)

2022

Bayesian and maximin optimal designs for heteroscedastic multi-factor regression models

Lei He, Daojiang He

Statistical Papers

2021

Generalized fiducial inference for the Lomax distribution

Liang Yan, Juan Geng, Li-Jun Wang, Daojiang He

Journal of Statistical Computation and Simulation

2021

Feature screening via Bergsma–Dassios sign correlation learning

Daojiang He, Xinxin Hao, Kai Xu, Lei He, You-Xin Liu

Statistics and its Interface

2021

Generalized Schott type tests for complete independence in high dimensions

Daojiang He, Huan-Yu Liu, Kai Xu, M. Cao

Journal of Multivariate Analysis

2021

Omnibus Model Checks of Linear Assumptions through Distance Covariance

Kai Xu, Daojiang He

2021

A High-Dimensional Test for Multivariate Analysis of Variance Under a Low-Dimensional Factor Structure

M. Cao, Yan-Ling Zhao, Kai Xu, Daojiang He, Xu-Dong Huang

Communications in Mathematics and Statistics

2021

Testing linear hypothesis of high-dimensional means with unequal covariance matrices

M. Cao, Shiting Liang, Daojiang He, Kai Xu

Journal of the Korean Statistical Society

2021

A high dimensional nonparametric test for proportional covariance matrices

Kai Xu, Yan Tian, Daojiang He

Journal of Multivariate Analysis

2020

Objective Bayesian Analysis for the Student-t Linear Regression

Daojiang He, Dong-Chu Sun, Lei He

Bayesian Analysis

2020

Statistical analysis for the doubly accelerated degradation Wiener model: An objective Bayesian approach

Daojiang He, Mingzhu Tao

2020

A test on linear hypothesis of $k$-sample means in high-dimensional data

M. Cao, P. Sun, Daojiang He, Rui Wang, Xingzhong Xu

2020

A doubly accelerated degradation model based on the inverse Gaussian process and its objective Bayesian analysis

Daojiang He, Lei Liu, M. Cao

2020

R-optimal designs for individual prediction in random coefficient regression models

Lei He, Daojiang He

2019

带有测量误差的Wiener退化模型的客观Bayes分析

何道江,盛玮芮,方龙祥

《应用数学学报》

2019

Linearly admissible estimators on linear functions of regression coefficient under balanced loss function

M. Cao, Daojiang He

Communications in Statistics - Theory and Methods

2019

Objective Bayesian analysis for accelerated degradation data using inverse Gaussian process models

Lei He, Dong-Chu Sun, Daojiang He

Statistics and its Interface

2018

Objective Bayesian hypothesis testing and estimation for the intraclass model

Duo Zhang, Daojiang He, Xiaoqian Sun, Tao Lu, Min Wang

2018

Step-stress accelerated degradation test planning based on Wiener process with correlation

Lei He, R. Yue, Daojiang He

2018

Objective Bayesian analysis for the accelerated degradation model using Wiener process with measurement errors

Daojiang He, Yunpeng Wang, M. Cao

2018

Objective Bayesian analysis for the accelerated degradation model based on the inverse Gaussian process

Daojiang He, Yunpeng Wang, Gui-Song Chang

Applied Mathematical Modelling

2017

非正常分层先验下多元线性模型中后验的正常性(英文)

贺磊,何道江

《应用概率统计》

2017

Admissibility of linear estimators of the common mean parameter in general linear models under a balanced loss function

M. Cao, Daojiang He

Journal of Multivariate Analysis

2017

A test for the k sample Behrens–Fisher problem in high dimensional data

M. Cao, Junyong Park, Daojiang He

Journal of Statistical Planning and Inference

2016

有缺失数据的条件独立正态母体中参数的最优同变估计

许凯,何道江

《数学学报(中文版)》

2016

Objective Bayesian analysis of degradation model with respect to a Wiener process

Lei He, Daojiang He, M. Cao

Journal of Systems Science and Complexity

2016

A Class of s–K Type Principal Components Estimators in the Linear Model

Daojiang He, Yan Wu, Kai Xu

Communications in statistics. Simulation and computation

2016

Wiener過程に関連した劣化モデルの客観的Bayes解析【Powered by NICT】

Lei He, Daojiang He, M. Cao

2015

相依误差线性模型中的主成分s-K估计

周玲,何道江

《吉林大学学报(理学版)》

2015

矩阵损失下线性预测关于不等式约束的容许性(英文)

何道江,贺磊

《安徽师范大学学报(自然科学版)》

2015

Further results on estimation of covariance matrix

Kai Xu, Daojiang He

2015

Random Weighting Empirical Distribution Function and its Applications to Goodness-of-Fit Testing

Daojiang He, Kai Xu, Xingzhong Xu

Communications in statistics. Simulation and computation

2015

The superiority of bayes estimators in a multivariate linear model with respect to normal-inverse Wishart prior

Kai Xu, Daojiang He

2015

Admissibility of Linear Predictors under Matrix Loss Function with Respect to an Inequality Constraint

Daojiang He

2014

正态-逆Wishart先验下多元线性模型中经验Bayes估计的优良性

许凯,何道江,徐兴忠

《数学年刊A辑(中文版)》

2014

具有一般协方差结构的增长曲线模型的reference先验(英文)

何道江,许凯

《应用概率统计》

2014

刻度指数族参数的经验Bayes估计及收敛速度

何道江,尤游

《数学杂志》

2014

线性模型参数一类新的s-K估计

吴燕,何道江

《吉林大学学报(理学版)》

2014

正态-逆Gamma先验下线性模型中回归系数和误差方差Bayes估计的改进

许凯,何道江

《吉林大学学报(理学版)》

2014

AN EMPIRICAL BAYESIAN ESTIMATOR AND ITS CONVERGENCE RATE FOR THE PARAMETER IN THE SCALE-EXPONENTIAL FAMILY

Daojiang He

2014

Estimation of the Cholesky decomposition in a conditional independent normal model with missing data

Daojiang He, Kai Xu

2014

A New Class of s-K Estimators in the Linear Model

Daojiang He, Yan Wu

2014

Linearly admissible estimators of stochastic regression coefficient under balanced loss function

M. Cao, Xingzhong Xu, Daojiang He

2014

A Stochastic Restricted Principal Components Regression Estimator in the Linear Model

Daojiang He, Yan Wu

TheScientificWorldJournal

2014

Admissible linear estimators of multivariate regression coefficient with respect to an inequality constraint under matrix balanced loss function

Daojiang He, Jie Wu

Journal of Multivariate Analysis

2013

贝叶斯χ2检验的修正

何道江,徐兴忠

《系统科学与数学》

2013

混合系数线性模型参数的一类新估计

许莹,何道江

《数学物理学报》

2013

x2分布性质的注记

何道江

《高师理科学刊》

2013

A goodness-of-fit testing approach for normality based on the posterior predictive distribution

Daojiang He, Xingzhong Xu

2013

A new procedure for testing normality based on the L2 Wasserstein distance

Daojiang He, Xingzhong Xu, Jian-Xin Zhao

Journal of Systems Science and Complexity

2013

The Use of Posterior Predictive P-Values in Testing Goodness-of-Fit

Daojiang He, Xingzhong Xu, Xuhua Liu

2013

Testing Homogeneity of Inverse Gaussian Scale Parameters Based on Generalized Likelihood Ratio

Xuhua Liu, Daojiang He

Communications in statistics. Simulation and computation

2011

Admissibility of Linear Predictors in the Superpopulation Model with Respect to Inequality Constraints under Matrix Loss Function

Daojiang He, Xingzhong Xu

2010

随机模拟浅探

郭大伟,何道江,张琼

《安徽师范大学学报(自然科学版)》

2010

不等式约束下线性模型中线性估计的可容许性

何道江,郭大伟

《数学杂志》

2010

On the comprehension of some basic conceptions in mathematical statistics

Daojiang He

Journal of Science of Teachers' College and University

2009

矩阵损失下线性估计可容许性的注记

何道江

《吉林大学学报(理学版)》

2009

Notes on Admissibility of Linear Estimators under Matrix Loss Function

Daojiang He

Journal of Jilin University(Science Edition)

2008

Admissibility of linear estimators with respect to inequality constraints under matrix loss function

Daojiang He, Guo Da-wei

Linear Algebra and its Applications

2007

不等式约束下多元线性模型中线性估计的可容许性

何道江,郭大伟

《吉林大学学报(理学版)》

2007

不等式约束下线性预测的可容许性

何道江

Journal of Mathematical Study

2007

First Exploration of Couse in Probability and Mathematical Statistics Experiment

Daojiang He

College Mathematics

2006

多元Poisson分布及其性质

何道江

《安徽师范大学学报(自然科学版)》

2006

不等式约束下线性模型中回归系数的所有可容许估计

何道江,郭大伟

《吉林大学学报(理学版)》

2006

Multivariate Poisson Distribution and its Properties

Daojiang He

Journal of Anhui Normal University

预印本

2025

A Bayes-Motivated Quadratic-Form Test for High-Dimensional Mean Testing

Daojiang He, Shicheng Xu, Jing Zhou

arXiv (Cornell University)

2024

Linear hypothesis testing in high-dimensional heteroscedastics via random integration

Mingxiang Cao, Hongwei Zhang, Kai Xu, Daojiang He

arXiv (Cornell University)

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