Tonghui Wang

According to our database, Tonghui Wang authored at least 46 papers between 1997 and 2024.

Collaborative distances:

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

2024

Breast tumor segmentation via deep correlation analysis of multi-sequence MRI.

Hongyu Wang, Tonghui Wang, Yanfang Hao, Songtao Ding, Jun Feng

Medical Biol. Eng. Comput., December, 2024

An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model.

Xiaonan Zhu, Zheng Wei, Tonghui Wang, S. T. Boris Choy, Ziwei Ma

Comput. Stat., May, 2024

The APP for estimating population proportion based on skew normal approximations and the Beta-Bernoulli process.

Lixia Cao, Cong Wang, Tonghui Wang, David Trafimow

Commun. Stat. Simul. Comput., January, 2024

Extending the A Priori Procedure (APP) to Analysis of Variance Models under Normality.

Liqun Hu, Tonghui Wang, David Trafimow, S. T. Boris Choy

Axioms, January, 2024

2023

The a Priori Procedure (APP) for Estimating the Cohen's Effect Size for Matched Pairs Under Skew Normal Settings.

Lixia Cao, Cong Wang, Xiangfei Chen, David Trafimow, Tonghui Wang

Int. J. Uncertain. Fuzziness Knowl. Based Syst., December, 2023

CAMS-Net: An attention-guided feature selection network for rib segmentation in chest X-rays.

Dandan Zhang, Hongyu Wang, Jiahui Deng, Tonghui Wang, Cong Shen, Jun Feng

Comput. Biol. Medicine, April, 2023

Feature generation and multi-sequence fusion based deep convolutional network for breast tumor diagnosis with missing MR sequences.

Tonghui Wang, Hongyu Wang, Jiahui Deng, Dandan Zhang, Jun Feng, Bao-ying Chen

Biomed. Signal Process. Control., April, 2023

The a Priori Procedure for Estimating the Cohen's Effect Size Under Independent Skew Normal Settings.

Cong Wang, Tonghui Wang, Xiangfei Chen, David Trafimow, Tingting Tong, Liqun Hu, S. T. Boris Choy

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023

2022

Base on the Public Scientific Quality Improvement Research on Risk Early Warning of Online Shopping.

Xiaoyan Li, Lixia Cao, Tonghui Wang, Xiangchu Feng

Wirel. Pers. Commun., 2022

Necessary sample sizes for specified closeness and confidence of matched data under the skew normal setting.

Cong Wang, Tonghui Wang, David Trafimow, Hunter A. Myüz

Commun. Stat. Simul. Comput., 2022

Inferences on location parameter in multivariate skew-normal family with unknown scale parameter.

Ziwei Ma, Ying-Ju Chen, Tonghui Wang, Jing Liu

Commun. Stat. Simul. Comput., 2022

2021

Estimating the location parameter under skew normal settings: is violating the independence assumption good or bad?

Cong Wang, Tonghui Wang, David Trafimow, Khanittha Talordphop

Soft Comput., 2021

Asymmetric dependence in the stochastic frontier model using skew normal copula.

Zheng Wei, Erin M. Conlon, Tonghui Wang

Int. J. Approx. Reason., 2021

A Low-Noise Analog Frontend with Large PD Capacitance Tolerance in 65-nm CMOS for Optical Receivers.

Jingbo Wang, Tonghui Wang, Xiao Yang, Hong Zhang

Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

2019

Flexible Constructions for Bivariate Copulas Emphasizing Local Dependence.

Xiaonan Zhu, Qingsong Shan, Suttisak Wisadwongsa, Tonghui Wang

Proceedings of the Structural Changes and their Econometric Modeling, 2019

Desired Sample Size for Estimating the Skewness Under Skew Normal Settings.

Cong Wang, Tonghui Wang, David Trafimow, Hunter A. Myüz

Proceedings of the Structural Changes and their Econometric Modeling, 2019

Comparisons on Measures of Asymmetric Associations.

Xiaonan Zhu, Tonghui Wang, Xiaoting Zhang, Liang Wang

Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019

The Inference on the Location Parameters Under Multivariate Skew Normal Settings.

Ziwei Ma, Ying-Ju Chen, Tonghui Wang, Wuzhen Peng

Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019

2018

Measures of Mutually Complete Dependence for Discrete Random Vectors.

Xiaonan Zhu, Tonghui Wang, S. T. Boris Choy, Kittawit Autchariyapanitkul

Proceedings of the Predictive Econometrics and Big Data, 2018

Plausibility Regions on Parameters of the Skew Normal Distribution Based on Inferential Models.

Xiaonan Zhu, Baokun Li, Mixia Wu, Tonghui Wang

Proceedings of the Predictive Econometrics and Big Data, 2018

Shape Mixture Models Based on Multivariate Extended Skew Normal Distributions.

Weizhong Tian, Tonghui Wang, Fengrong Wei, Fang Dai

Proceedings of the Predictive Econometrics and Big Data, 2018

Joint Plausibility Regions for Parameters of Skew Normal Family.

Ziwei Ma, Xiaonan Zhu, Tonghui Wang, Kittawit Autchariyapanitkul

Proceedings of the Predictive Econometrics and Big Data, 2018

The Decomposition of Quadratic Forms Under Skew Normal Settings.

Ziwei Ma, Weizhong Tian, Baokun Li, Tonghui Wang

Proceedings of the Predictive Econometrics and Big Data, 2018

2017

Constructions of Multivariate Copulas.

Xiaonan Zhu, Tonghui Wang, Varith Pipitpojanakarn

Proceedings of the Robustness in Econometrics, 2017

Plausibility Regions on the Skewness Parameter of Skew Normal Distributions Based on Inferential Models.

Xiaonan Zhu, Ziwei Ma, Tonghui Wang, Teerawut Teetranont

Proceedings of the Robustness in Econometrics, 2017

A Multivariate Generalized FGM Copulas and Its Application to Multiple Regression.

Zheng Wei, Daeyoung Kim, Tonghui Wang, Teerawut Teetranont

Proceedings of the Robustness in Econometrics, 2017

EM Estimation for Multivariate Skew Slash Distribution.

Weizhong Tian, Guodong Han, Tonghui Wang, Varith Pipitpojanakarn

Proceedings of the Robustness in Econometrics, 2017

New Estimation Method for Mixture of Normal Distributions.

Qianfang Hu, Zheng Wei, Baokun Li, Tonghui Wang

Proceedings of the Robustness in Econometrics, 2017

The ANOVA-type inference in linear mixed model with skew-normal error.

Mixia Wu, Jing Zhao, Tonghui Wang, Yan Zhao

J. Syst. Sci. Complex., 2017

SIFT Based Monocular SLAM with GPU Accelerated.

Tonghui Wang, Guoyun Lv, Shikai Wang, Haili Li, Baicen Lu

Proceedings of the Communications and Networking, 2017

2016

On Consistency of Estimators Based on Random Set Vector Observations.

Zheng Wei, Tonghui Wang, Baokun Li

Proceedings of the Causal Inference in Econometrics, 2016

Multiple Copula Regression Function and Directional Dependence Under Multivariate Non-exchangeable Copulas.

Zheng Wei, Tonghui Wang, Daeyoung Kim

Proceedings of the Causal Inference in Econometrics, 2016

The Multivariate Extended Skew Normal Distribution and Its Quadratic Forms.

Weizhong Tian, Cong Wang, Mixia Wu, Tonghui Wang

Proceedings of the Causal Inference in Econometrics, 2016

2015

The Joint Belief Function and Shapley Value for the Joint Cooperative Game.

Zheng Wei, Tonghui Wang, Baokun Li, Phuong Anh Nguyen

Proceedings of the Econometrics of Risk, 2015

Distortion Risk Measures Under Skew Normal Settings.

Weizhong Tian, Tonghui Wang, Liangjian Hu, Hien D. Tran

Proceedings of the Econometrics of Risk, 2015

Multivariate dependence concepts through copulas.

Zheng Wei, Tonghui Wang, Phuong Anh Nguyen

Int. J. Approx. Reason., 2015

A measure of mutual complete dependence in discrete variables through subcopula.

Qingsong Shan, Tanes Wongyang, Tonghui Wang, Santi Tasena

Int. J. Approx. Reason., 2015

2014

Distribution of matrix quadratic forms under skew-normal settings.

Ren-Dao Ye, Tonghui Wang, Arjun K. Gupta

J. Multivar. Anal., 2014

Dependence and Association Concepts through Copulas.

Zheng Wei, Tonghui Wang, Wararit Panichkitkosolkul

Proceedings of the Modeling Dependence in Econometrics, 2014

2013

The Entropy of Co-Compact Open Covers.

Zheng Wei, Yangeng Wang, Guo Wei, Tonghui Wang, Steven Bourquin

Entropy, 2013

2012

Semi-heuristic poverty measures used by economists: Justification motivated by fuzzy techniques.

Karen Villaverde, Nagwa Albehery, Tonghui Wang, Vladik Kreinovich

Proceedings of the FUZZ-IEEE 2012, 2012

2009

Distribution of quadratic forms under skew normal settings.

Tonghui Wang, Baokun Li, Arjun K. Gupta

J. Multivar. Anal., 2009

2007

Computational aspects of the coarsening at random model and the Shapley value.

Baokun Li, Tonghui Wang

Inf. Sci., 2007

2004

On probabilistic methods in fuzzy theory.

Hung T. Nguyen, Tonghui Wang, Berlin Wu

Int. J. Intell. Syst., 2004

1997

On Capacity Functionals in Interval Probabilities.

Hung T. Nguyen, Nhu T. Nguyen, Tonghui Wang

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1997

Local Radon-Nikodym Derivatives of Set Functions.

John Harding, Massimo Marinacci, Nhu T. Nguyen, Tonghui Wang

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1997