Dehui Wang

According to our database, Dehui Wang authored at least 36 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BRC-GARCH-X model: the empirical evidence in stock returns.

Zheqi Wang, Dehui Wang

Commun. Stat. Simul. Comput., July, 2024

Bivariate Random Coefficient Integer-Valued Autoregressive Model Based on a ρ-Thinning Operator.

Chang Liu, Dehui Wang

Axioms, June, 2024

A study for the NMBAR(1) processes.

Han Yan, Dehui Wang, Cong Li

Commun. Stat. Simul. Comput., March, 2024

A Time-Varying Mixture Integer-Valued Threshold Autoregressive Process Driven by Explanatory Variables.

Danshu Sheng, Dehui Wang, Jie Zhang, Jianxin Wang, Yiran Zhai

Entropy, February, 2024

A Two-Step Estimation Method for a Time-Varying INAR Model.

Yuxin Pang, Dehui Wang, Mark Goh

Axioms, January, 2024

A spatiotemporal chaos based deep learning model watermarking scheme.

Dehui Wang, Shuang Zhou, Yingqian Zhang

Appl. Soft Comput., 2024

2023

Moderate Deviation Principle for Linear Processes Generated by Dependent Sequences under Sub-Linear Expectation.

Peiyu Sun, Dehui Wang, Xue Ding, Xili Tan, Yong Zhang

Axioms, August, 2023

A Time-Varying Coefficient Double Threshold GARCH Model with Explanatory Variables.

Tongwei Zhang, Lianyan Fu, Dehui Wang, Zhuoxi Yu

Axioms, May, 2023

Empirical Likelihood for a First-Order Generalized Random Coefficient Integer-Valued Autoregressive Process.

Jianhua Cheng, Xu Wang, Dehui Wang

J. Syst. Sci. Complex., April, 2023

Estimation and testing of multivariate random coefficient autoregressive model based on empirical likelihood.

Jin Chen, Dehui Wang, Cong Li, Jingwen Huang

Commun. Stat. Simul. Comput., February, 2023

A new binomial autoregressive process with explanatory variables.

Rui Zhang, Dehui Wang

J. Comput. Appl. Math., 2023

2022

Penalized multiply robust estimation in high-order autoregressive processes with missing explanatory variables.

Wei Xiong, Dehui Wang, Dianliang Deng, Xinyang Wang, Wanying Zhang

J. Multivar. Anal., 2022

First-order random coefficient mixed-thinning integer-valued autoregressive model.

Leiya Chang, Xiufang Liu, Dehui Wang, Yingchuan Jing, Chenlong Li

J. Comput. Appl. Math., 2022

A new estimation for INAR(1) process with Poisson distribution.

Feilong Lu, Dehui Wang

Comput. Stat., 2022

2021

First-Order Random Coefficient Multinomial Autoregressive Model for Finite-Range Time Series of Counts.

Jie Zhang, Dehui Wang, Kai Yang, Xiaogang Dong

Symmetry, 2021

Statistical Inference for Periodic Self-Exciting Threshold Integer-Valued Autoregressive Processes.

Congmin Liu, Jianhua Cheng, Dehui Wang

Entropy, 2021

Monitoring the Zero-Inflated Time Series Model of Counts with Random Coefficient.

Cong Li, Shuai Cui, Dehui Wang

Entropy, 2021

Estimation and testing for the integer-valued threshold autoregressive models based on negative binomial thinning.

Xiaohong Wang, Dehui Wang, Kai Yang, Da Xu

Commun. Stat. Simul. Comput., 2021

2020

A study of RCINAR(1) process with generalized negative binomial marginals.

Jie Zhang, Dehui Wang, Kai Yang

Commun. Stat. Simul. Comput., 2020

2019

Detecting mean increases in zero truncated INAR(1) processes.

Cong Li, Dehui Wang, Fukang Zhu

Int. J. Prod. Res., 2019

2017

Quasi-likelihood inference for self-exciting threshold integer-valued autoregressive processes.

Han Li, Kai Yang, Dehui Wang

Comput. Stat., 2017

Research on two-dimensional traffic flow model based on psychological field theory.

Wenhao Li, Yu Nie, Zhongyao Yang, Shaochun Zheng, Dehui Wang

CoRR, 2017

2016

All-Fiber Configuration Laser Self-Mixing Doppler Velocimeter Based on Distributed Feedback Fiber Laser.

Shuang Wu, Dehui Wang, Rong Xiang, Junfeng Zhou, Yangcheng Ma, Huaqiao Gui, Jianguo Liu, Huanqin Wang, Liang Lu, Benli Yu

Sensors, 2016

Effective Control Charts for Monitoring the NGINAR(1) Process.

Cong Li, Dehui Wang, Fukang Zhu

Qual. Reliab. Eng. Int., 2016

An Inference Methodology for Selecting and Clustering Genes Based on Likelihood Ratio Test.

Rui-Yin Liu, Jian Tao, Dehui Wang

Int. J. Pattern Recognit. Artif. Intell., 2016

2015

Inference for Random Coefficient INAR(1) Process Based on Frequency Domain Analysis.

Haixiang Zhang, Dehui Wang

Commun. Stat. Simul. Comput., 2015

2014

Estimation of parameters in the fractional compound Poisson process.

Ying Wang, Dehui Wang, Fukang Zhu

Commun. Nonlinear Sci. Numer. Simul., 2014

2013

Empirical likelihood inference for partial linear models with ARCH(1) errors.

Zhuoxi Yu, Shishun Zhao, Dehui Wang

Math. Comput. Model., 2013

Regression analysis of multivariate panel count data with an informative observation process.

Haixiang Zhang, Hui Zhao, Jianguo Sun, Dehui Wang, KyungMann Kim

J. Multivar. Anal., 2013

Coefficient constancy test in generalized random coefficient autoregressive model.

Zhi-Wen Zhao, Dehui Wang, Cui-Xin Peng

Appl. Math. Comput., 2013

2012

Statistical inference for generalized random coefficient autoregressive model.

Zhi-Wen Zhao, Dehui Wang

Math. Comput. Model., 2012

2011

The limit theorem for dependent random variables with applications to autoregression models.

Yong Zhang, Xiaoyun Yang, Zhishan Dong, Dehui Wang

J. Syst. Sci. Complex., 2011

Limit theory for random coefficient first-order autoregressive process under martingale difference error sequence.

Zhi-Wen Zhao, Dehui Wang, Yong Zhang

J. Comput. Appl. Math., 2011

Generalized RCINAR(<i>p</i>) Process with Signed Thinning Operator.

Dehui Wang, Haixiang Zhang

Commun. Stat. Simul. Comput., 2011

Ruin problems for an autoregressive risk model with dependent rates of interest.

Jianhua Cheng, Dehui Wang

Appl. Math. Comput., 2011

2010

Diagnostic checking integer-valued ARCH(p) models using conditional residual autocorrelations.

Fukang Zhu, Dehui Wang

Comput. Stat. Data Anal., 2010