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2020 – today
- 2024
[j35]Dehui Wang, Shuang Zhou, Yingqian Zhang:
A spatiotemporal chaos based deep learning model watermarking scheme. Appl. Soft Comput. 164: 112004 (2024)- [j34]Yuxin Pang, Dehui Wang, Mark Goh
:
A Two-Step Estimation Method for a Time-Varying INAR Model. Axioms 13(1): 19 (2024) - [j33]Chang Liu, Dehui Wang:
Bivariate Random Coefficient Integer-Valued Autoregressive Model Based on a ρ-Thinning Operator. Axioms 13(6): 367 (2024) - [j32]Han Yan, Dehui Wang, Cong Li:
A study for the NMBAR(1) processes. Commun. Stat. Simul. Comput. 53(3): 1308-1329 (2024) - [j31]Zheqi Wang, Dehui Wang:
BRC-GARCH-X model: the empirical evidence in stock returns. Commun. Stat. Simul. Comput. 53(7): 3327-3351 (2024) - [j30]Danshu Sheng, Dehui Wang, Jie Zhang, Jianxin Wang, Yiran Zhai:
A Time-Varying Mixture Integer-Valued Threshold Autoregressive Process Driven by Explanatory Variables. Entropy 26(2): 140 (2024) - 2023
- [j29]Tongwei Zhang, Lianyan Fu, Dehui Wang, Zhuoxi Yu:
A Time-Varying Coefficient Double Threshold GARCH Model with Explanatory Variables. Axioms 12(5): 476 (2023) - [j28]Peiyu Sun, Dehui Wang, Xue Ding, Xili Tan, Yong Zhang:
Moderate Deviation Principle for Linear Processes Generated by Dependent Sequences under Sub-Linear Expectation. Axioms 12(8): 781 (2023) - [j27]Jin Chen, Dehui Wang, Cong Li, Jingwen Huang:
Estimation and testing of multivariate random coefficient autoregressive model based on empirical likelihood. Commun. Stat. Simul. Comput. 52(2): 291-308 (2023) - [j26]Rui Zhang, Dehui Wang:
A new binomial autoregressive process with explanatory variables. J. Comput. Appl. Math. 420: 114814 (2023) - [j25]Jianhua Cheng, Xu Wang, Dehui Wang:
Empirical Likelihood for a First-Order Generalized Random Coefficient Integer-Valued Autoregressive Process. J. Syst. Sci. Complex. 36(2): 843-865 (2023) - 2022
- [j24]Feilong Lu, Dehui Wang:
A new estimation for INAR(1) process with Poisson distribution. Comput. Stat. 37(3): 1185-1201 (2022) - [j23]Leiya Chang, Xiufang Liu, Dehui Wang, Yingchuan Jing, Chenlong Li:
First-order random coefficient mixed-thinning integer-valued autoregressive model. J. Comput. Appl. Math. 410: 114222 (2022) - [j22]Wei Xiong, Dehui Wang, Dianliang Deng, Xinyang Wang, Wanying Zhang:
Penalized multiply robust estimation in high-order autoregressive processes with missing explanatory variables. J. Multivar. Anal. 187: 104867 (2022) - 2021
- [j21]Xiaohong Wang, Dehui Wang, Kai Yang, Da Xu:
Estimation and testing for the integer-valued threshold autoregressive models based on negative binomial thinning. Commun. Stat. Simul. Comput. 50(6): 1622-1644 (2021) - [j20]Cong Li, Shuai Cui, Dehui Wang:
Monitoring the Zero-Inflated Time Series Model of Counts with Random Coefficient. Entropy 23(3): 372 (2021) - [j19]Congmin Liu, Jianhua Cheng, Dehui Wang:
Statistical Inference for Periodic Self-Exciting Threshold Integer-Valued Autoregressive Processes. Entropy 23(6): 765 (2021) - [j18]Jie Zhang, Dehui Wang, Kai Yang, Xiaogang Dong:
First-Order Random Coefficient Multinomial Autoregressive Model for Finite-Range Time Series of Counts. Symmetry 13(12): 2271 (2021) - 2020
- [j17]Jie Zhang, Dehui Wang, Kai Yang:
A study of RCINAR(1) process with generalized negative binomial marginals. Commun. Stat. Simul. Comput. 49(6): 1487-1510 (2020)
2010 – 2019
- 2019
- [j16]Cong Li, Dehui Wang, Fukang Zhu:
Detecting mean increases in zero truncated INAR(1) processes. Int. J. Prod. Res. 57(17): 5589-5603 (2019) - 2017
- [j15]Han Li, Kai Yang, Dehui Wang:
Quasi-likelihood inference for self-exciting threshold integer-valued autoregressive processes. Comput. Stat. 32(4): 1597-1620 (2017) - [i1]Wenhao Li, Yu Nie, Zhongyao Yang, Shaochun Zheng, Dehui Wang:
Research on two-dimensional traffic flow model based on psychological field theory. CoRR abs/1711.05254 (2017) - 2016
- [j14]Rui-Yin Liu, Jian Tao, Dehui Wang:
An Inference Methodology for Selecting and Clustering Genes Based on Likelihood Ratio Test. Int. J. Pattern Recognit. Artif. Intell. 30(8): 1650019:1-1650019:15 (2016) - [j13]Cong Li, Dehui Wang, Fukang Zhu:
Effective Control Charts for Monitoring the NGINAR(1) Process. Qual. Reliab. Eng. Int. 32(3): 877-888 (2016) - [j12]Shuang Wu, Dehui Wang, Rong Xiang, Junfeng Zhou, Yangcheng Ma, Huaqiao Gui, Jianguo Liu, Huanqin Wang, Liang Lu, Benli Yu:
All-Fiber Configuration Laser Self-Mixing Doppler Velocimeter Based on Distributed Feedback Fiber Laser. Sensors 16(8): 1179 (2016) - 2015
- [j11]Haixiang Zhang, Dehui Wang:
Inference for Random Coefficient INAR(1) Process Based on Frequency Domain Analysis. Commun. Stat. Simul. Comput. 44(4): 1078-1100 (2015) - 2014
- [j10]Ying Wang, Dehui Wang, Fukang Zhu:
Estimation of parameters in the fractional compound Poisson process. Commun. Nonlinear Sci. Numer. Simul. 19(10): 3425-3430 (2014) - 2013
- [j9]Zhi-Wen Zhao, Dehui Wang, Cui-Xin Peng:
Coefficient constancy test in generalized random coefficient autoregressive model. Appl. Math. Comput. 219(20): 10283-10292 (2013) - [j8]Haixiang Zhang, Hui Zhao, Jianguo Sun, Dehui Wang, KyungMann Kim:
Regression analysis of multivariate panel count data with an informative observation process. J. Multivar. Anal. 119: 71-80 (2013) - [j7]Zhuoxi Yu, Shishun Zhao, Dehui Wang:
Empirical likelihood inference for partial linear models with ARCH(1) errors. Math. Comput. Model. 57(9-10): 2449-2458 (2013) - 2012
- [j6]Zhi-Wen Zhao, Dehui Wang:
Statistical inference for generalized random coefficient autoregressive model. Math. Comput. Model. 56(7-8): 152-166 (2012) - 2011
- [j5]Jianhua Cheng, Dehui Wang:
Ruin problems for an autoregressive risk model with dependent rates of interest. Appl. Math. Comput. 218(7): 3822-3833 (2011) - [j4]Dehui Wang, Haixiang Zhang:
Generalized RCINAR(p) Process with Signed Thinning Operator. Commun. Stat. Simul. Comput. 40(1): 13-44 (2011) - [j3]Zhi-Wen Zhao, Dehui Wang, Yong Zhang:
Limit theory for random coefficient first-order autoregressive process under martingale difference error sequence. J. Comput. Appl. Math. 235(8): 2515-2522 (2011) - [j2]Yong Zhang, Xiaoyun Yang, Zhishan Dong, Dehui Wang:
The limit theorem for dependent random variables with applications to autoregression models. J. Syst. Sci. Complex. 24(3): 565-579 (2011) - 2010
- [j1]Fukang Zhu, Dehui Wang:
Diagnostic checking integer-valued ARCH(p) models using conditional residual autocorrelations. Comput. Stat. Data Anal. 54(2): 496-508 (2010)
Coauthor Index
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