Shuangzhe Liu

According to our database, Shuangzhe Liu authored at least 26 papers between 2005 and 2025.

Collaborative distances:

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

2025

Skew-Normal Model Theories and Their Applications: Rendao Ye, Kun Luo, Wenyan Zhu, Yue Qi, Boca Raton, FL: CRC Press, 2024, 272, with 19 B/W illustrations, ISBN 9781032694696 (Hardcover).

Shuangzhe Liu, Yonghui Liu

Technometrics, April, 2025

Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors.

Yonghui Liu, Jiawei Lu, Gilberto A. Paula, Shuangzhe Liu

Comput. Stat., February, 2025

Handling unobserved confounding for continuous sequential data via extracting key sub-intervals.

Jianmei Ren, Tiefeng Ma, Shuangzhe Liu

Inf. Sci., 2025

2024

Diagnostic analytics for a GARCH model under skew-normal distributions.

Yonghui Liu, Jing Wang, Yao Zhao, Conan Liu, Shuangzhe Liu

Commun. Stat. Simul. Comput., October, 2024

Backseat Driver: The Role of Data in Great Car Safety Debates Backseat Driver: The Role of Data in Great Car Safety Debates Norma Faris Hubele, New York: Chapman and Hall/CRC, 2022, 200 pages 67 B/W illustrations, $88, hardcover, ISBN 9780367474072 (hbk); 9780367472306 (pbk); 9781003035343 (ebk): Norma Faris Hubele, New York: Chapman and Hall/CRC, 2022, 200 pages 67 B/W illustrations, $88, hardcover, ISBN 9780367474072 (hbk); 9780367472306 (pbk); 9781003035343 (ebk).

Shuangzhe Liu

Technometrics, 2024

PaVa: A novel path-based valley-seeking clustering algorithm.

Lin Ma, Conan Liu, Tiefeng Ma, Shuangzhe Liu

Inf. Sci., 2024

2023

GriT-DBSCAN: A spatial clustering algorithm for very large databases.

Xiaogang Huang, Tiefeng Ma, Conan Liu, Shuangzhe Liu

Pattern Recognit., October, 2023

Causal Responsibility Division of Chronological Continuous Treatment Based on Change-Point Detection.

Hang Liu, Tiefeng Ma, Conan Liu, Shuangzhe Liu

Entropy, August, 2023

Distributed Penalized Modal Regression for Massive Data.

Jun Jin, Shuangzhe Liu, Tiefeng Ma

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

A shape-based multiple segmentation algorithm for change-point detection.

Dan Zhuang, Qijing Yan, Shuangzhe Liu, Tiefeng Ma, Youbo Liu

Comput. Ind. Eng., February, 2023

Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale: by Ashis SenGupta and Barry C. Arnold, Singapore: Springer, 2022, XIX, 488 pp., with 49 b/w illustrations, 93 illustrations in color, ISBN 978-981-19-1043-2 (hbk).

Shuangzhe Liu

Technometrics, January, 2023

2022

Matrix differential calculus with applications in the multivariate linear model and its diagnostics.

Shuangzhe Liu, Víctor Leiva, Dan Zhuang, Tiefeng Ma, Jorge I. Figueroa-Zúñiga

J. Multivar. Anal., 2022

A new clustering algorithm based on a radar scanning strategy with applications to machine learning data.

Lin Ma, Yi Zhang, Víctor Leiva, Shuangzhe Liu, Tiefeng Ma

Expert Syst. Appl., 2022

2021

Change-point detection based on adjusted shape context cost method.

Qijing Yan, Youbo Liu, Shuangzhe Liu, Tiefeng Ma

Inf. Sci., 2021

Penalized weighted composite quantile regression for partially linear varying coefficient models with missing covariates.

Jun Jin, Tiefeng Ma, Jiajia Dai, Shuangzhe Liu

Comput. Stat., 2021

2020

A shape-based cutting and clustering algorithm for multiple change-point detection.

Dan Zhuang, Youbo Liu, Shuangzhe Liu, Tiefeng Ma, Seng-Huat Ong

J. Comput. Appl. Math., 2020

2019

EEG-based Person Authentication System in Different Brain States.

Nga Tran, Dat Tran, Shuangzhe Liu, Wanli Ma, Tien Pham

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

On the Stability of a Pass-Thought Security System in Different Brain States.

Nga Tran, Dat Tran, Shuangzhe Liu, Tien Pham

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Improving SVM Classification on Imbalanced Datasets for EEG-Based Person Authentication.

Nga Tran, Dat Tran, Shuangzhe Liu, Linh Trinh, Tien Pham

Proceedings of the International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019

2016

Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions.

Shuangzhe Liu, Víctor Leiva, Tie-Feng Ma, Alan H. Welsh

Stat. Methods Appl., 2016

2014

Spatial system estimators for panel models: A sensitivity and simulation study.

Shuangzhe Liu, Tie-Feng Ma, Wolfgang Polasek

Math. Comput. Simul., 2014

2013

Simulating the characteristics of populations at the small area level: New validation techniques for a spatial microsimulation model in Australia.

Azizur Rahman, Ann Harding, Robert Tanton, Shuangzhe Liu

Comput. Stat. Data Anal., 2013

2011

Regression Diagnostics.

Shuangzhe Liu, Alan H. Welsh

Proceedings of the International Encyclopedia of Statistical Science, 2011

2009

On pseudo maximum likelihood estimation for multivariate time series models with conditional heteroskedasticity.

Shuangzhe Liu, Heinz Neudecker

Math. Comput. Simul., 2009

2007

The Application of Multi-sensors Fusion in Vehicle Transmission System Fault Diagnosis.

Xiaobing Wu, Shuangzhe Liu, Dharmendra Sharma

Proceedings of the Third International Conference on Natural Computation, 2007

2005

ANOVA Models with Generalized Inverses.

Wolfgang Polasek, Shuangzhe Liu

Proceedings of the Data Analysis and Decision Support, 2005