赵守江｜三峡大学｜学者主页

期刊论文

2026

爆炸状态带线性漂移项Ornstein-Uhlenbeck过程的精细大偏差

李沁文，赵守江

《数学物理学报》

2024

Cox-Ingersoll-Ross过程对数似然比的精细大偏差（英文）

吕亚倩，赵守江

《数学杂志》

2020

A large deviation result for maximum likelihood estimator of non-homogeneous Ornstein–Uhlenbeck processes

Shoujiang Zhao, Qiaojing Liu

Statistics & Probability Letters

DOI

2019

α-布朗桥极大似然估计的偏差不等式

周芊芊，赵守江

《湖北文理学院学报》

2019

On large deviation expansion for log-likelihood ratio of non-homogeneous Ornstein–Uhlenbeck processes

Shoujiang Zhao, Qianqian Zhou

Statistics & Probability Letters

DOI

2018

On the large deviation principle for maximum likelihood estimator of α -Brownian bridge

Shoujiang Zhao, Qiaojing Liu, Ting Chen

Statistics & Probability Letters

DOI

2017

非稳定状态α-布朗桥极大似然估计的精细大偏差展开

陈廷，赵守江

《湖北文理学院学报》

2017

基于专业结合的数理统计课程教学探讨

刘巧静，赵守江，柳福祥，张艳娟

《教育教学论坛》

2016

Large deviation expansion for maximum-likelihood estimator of α −Brownian bridge

Shoujiang Zhao, Ting Chen

Communication in Statistics- Theory and Methods

DOI

2013

Sharp large deviations for the log-likelihood ratio of an -Brownian bridge

Shoujiang Zhao, Yanping Zhou

Statistics & Probability Letters

DOI

2013

Pointwise and uniform moderate deviations for nonparametric regression function estimator on functional data

Qiaojing Liu, Shoujiang Zhao

Statistics & Probability Letters

DOI

2013

Sharp Large Deviation for the Energy of -Brownian Bridge

Shoujiang Zhao, Qiaojing Liu, Fuxiang Liu, Hong Yin

International Journal of Stochastic Analysis

DOI

2012

Moderate deviations for some nonparametric estimators with errors in variables

Shoujiang Zhao, Qiaojing Liu

Statistics & Probability Letters

DOI

2012

Moderate deviations and hypothesis testing for signal detection problem

Fuqing Gao, Shoujiang Zhao

Science China Mathematics

DOI

2011

适应工科院校概率论与数理统计教学探讨

赵守江，刘巧静

《潍坊工程职业学院学报》

2011

信号检测问题的假设检验:大偏差方法(英文)

赵守江，高付清

《数学杂志》

2011

分数O-U模型的假设检验

赵守江

《数学物理学报》

2011

同分布PA序列的强大数定律

赵守江，刘巧静

《河北工业大学学报》

2011

Large deviations for parameter estimators of bridge

Shoujiang Zhao, Qiaojing Liu

Journal of Statistical Planning and Inference

DOI

2011

Large and moderate deviations in testing time inhomogeneous diffusions

Hui Jiang, Shoujiang Zhao

Journal of Statistical Planning and Inference

DOI

2011

Moderate deviations for a test of symmetry based on deconvolution kernel density estimators

Shoujiang Zhao, Qiaojing Liu

Wuhan University Journal of Natural Sciences

DOI

2011

Large Deviations in Testing Squared Radial Ornstein‐Uhleneck Model

Shoujiang Zhao, Qiaojing Liu

Journal of Probability and Statistics

DOI

书籍章节

2013

Hypothesis Testing for Squared Radial Ornstein–Uhleneck Model: Moderate Deviations Method

Caiping Chen, Shoujiang Zhao, Qiao-Jing Liu

Advances in intelligent systems and computing

DOI

赵守江

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精选作品

期刊论文

爆炸状态带线性漂移项Ornstein-Uhlenbeck过程的精细大偏差

Cox-Ingersoll-Ross过程对数似然比的精细大偏差（英文）

A large deviation result for maximum likelihood estimator of non-homogeneous Ornstein–Uhlenbeck processes

α-布朗桥极大似然估计的偏差不等式

On large deviation expansion for log-likelihood ratio of non-homogeneous Ornstein–Uhlenbeck processes

On the large deviation principle for maximum likelihood estimator of α -Brownian bridge

非稳定状态α-布朗桥极大似然估计的精细大偏差展开

基于专业结合的数理统计课程教学探讨

Large deviation expansion for maximum-likelihood estimator of α −Brownian bridge

Sharp large deviations for the log-likelihood ratio of an -Brownian bridge

Pointwise and uniform moderate deviations for nonparametric regression function estimator on functional data

Sharp Large Deviation for the Energy of -Brownian Bridge

Moderate deviations for some nonparametric estimators with errors in variables

Moderate deviations and hypothesis testing for signal detection problem

适应工科院校概率论与数理统计教学探讨

信号检测问题的假设检验:大偏差方法(英文)

分数O-U模型的假设检验

同分布PA序列的强大数定律

Large deviations for parameter estimators of bridge

Large and moderate deviations in testing time inhomogeneous diffusions

Moderate deviations for a test of symmetry based on deconvolution kernel density estimators

Large Deviations in Testing Squared Radial Ornstein‐Uhleneck Model

书籍章节

Hypothesis Testing for Squared Radial Ornstein–Uhleneck Model: Moderate Deviations Method

研究方向