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2020 – today
- 2024
[j17]Yonghui Liu, Jing Wang, Yao Zhao, Conan Liu, Shuangzhe Liu
:
Diagnostic analytics for a GARCH model under skew-normal distributions. Commun. Stat. Simul. Comput. 53(10): 4850-4874 (2024)- [j16]Lin Ma, Conan Liu, Tiefeng Ma, Shuangzhe Liu:
PaVa: A novel path-based valley-seeking clustering algorithm. Inf. Sci. 665: 120380 (2024) - [j15]Shuangzhe Liu:
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). Technometrics 66(1): 131-132 (2024) - 2023
- [j14]Dan Zhuang, Qijing Yan, Shuangzhe Liu, Tiefeng Ma, Youbo Liu:
A shape-based multiple segmentation algorithm for change-point detection. Comput. Ind. Eng. 176: 108986 (2023) - [j13]Hang Liu, Tiefeng Ma, Conan Liu, Shuangzhe Liu:
Causal Responsibility Division of Chronological Continuous Treatment Based on Change-Point Detection. Entropy 25(8): 1164 (2023) - [j12]Jun Jin, Shuangzhe Liu, Tiefeng Ma:
Distributed Penalized Modal Regression for Massive Data. J. Syst. Sci. Complex. 36(2): 798-821 (2023) - [j11]Xiaogang Huang, Tiefeng Ma, Conan Liu, Shuangzhe Liu:
GriT-DBSCAN: A spatial clustering algorithm for very large databases. Pattern Recognit. 142: 109658 (2023) - [j10]Shuangzhe Liu:
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). Technometrics 65(1): 133-134 (2023) - [i2]Lin Ma, Conan Liu, Tiefeng Ma, Shuangzhe Liu:
PaVa: a novel Path-based Valley-seeking clustering algorithm. CoRR abs/2306.07503 (2023) - 2022
- [j9]Lin Ma, Yi Zhang, Víctor Leiva, Shuangzhe Liu, Tiefeng Ma:
A new clustering algorithm based on a radar scanning strategy with applications to machine learning data. Expert Syst. Appl. 191: 116143 (2022) - [j8]Shuangzhe Liu, Víctor Leiva, Dan Zhuang, Tiefeng Ma, Jorge I. Figueroa-Zúñiga:
Matrix differential calculus with applications in the multivariate linear model and its diagnostics. J. Multivar. Anal. 188: 104849 (2022) - [i1]Xiaogang Huang, Tiefeng Ma, Conan Liu, Shuangzhe Liu:
GriT-DBSCAN: A Spatial Clustering Algorithm for Very Large Databases. CoRR abs/2210.07580 (2022) - 2021
- [j7]Jun Jin, Tiefeng Ma, Jiajia Dai, Shuangzhe Liu:
Penalized weighted composite quantile regression for partially linear varying coefficient models with missing covariates. Comput. Stat. 36(1): 541-575 (2021) - [j6]Qijing Yan, Youbo Liu, Shuangzhe Liu, Tiefeng Ma:
Change-point detection based on adjusted shape context cost method. Inf. Sci. 545: 363-380 (2021) - 2020
- [j5]Dan Zhuang, Youbo Liu, Shuangzhe Liu, Tiefeng Ma, Seng-Huat Ong:
A shape-based cutting and clustering algorithm for multiple change-point detection. J. Comput. Appl. Math. 369 (2020)
2010 – 2019
- 2019
- [c4]Nga Tran, Dat Tran, Shuangzhe Liu, Linh Trinh, Tien Pham:
Improving SVM Classification on Imbalanced Datasets for EEG-Based Person Authentication. CISIS-ICEUTE 2019: 57-66 - [c3]Nga Tran, Dat Tran, Shuangzhe Liu, Tien Pham:
On the Stability of a Pass-Thought Security System in Different Brain States. ICONIP (1) 2019: 556-567 - [c2]Nga Tran, Dat Tran, Shuangzhe Liu, Wanli Ma, Tien Pham:
EEG-based Person Authentication System in Different Brain States. NER 2019: 1050-1053 - 2016
- [j4]Shuangzhe Liu, Víctor Leiva, Tie-Feng Ma, Alan H. Welsh:
Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions. Stat. Methods Appl. 25(2): 227-249 (2016) - 2014
- [j3]Shuangzhe Liu, Tie-Feng Ma, Wolfgang Polasek:
Spatial system estimators for panel models: A sensitivity and simulation study. Math. Comput. Simul. 101: 78-102 (2014) - 2013
- [j2]Azizur Rahman, Ann Harding, Robert Tanton, Shuangzhe Liu:
Simulating the characteristics of populations at the small area level: New validation techniques for a spatial microsimulation model in Australia. Comput. Stat. Data Anal. 57(1): 149-165 (2013) - 2011
- [r1]Shuangzhe Liu, Alan H. Welsh:
Regression Diagnostics. International Encyclopedia of Statistical Science 2011: 1206-1208
2000 – 2009
- 2009
- [j1]Shuangzhe Liu, Heinz Neudecker:
On pseudo maximum likelihood estimation for multivariate time series models with conditional heteroskedasticity. Math. Comput. Simul. 79(8): 2556-2565 (2009) - 2007
- [c1]Xiaobing Wu, Shuangzhe Liu, Dharmendra Sharma:
The Application of Multi-sensors Fusion in Vehicle Transmission System Fault Diagnosis. ICNC (2) 2007: 728-731 - 2005
- [p1]Wolfgang Polasek, Shuangzhe Liu:
ANOVA Models with Generalized Inverses. Data Analysis and Decision Support 2005: 113-121
Coauthor Index
aka: Tie-Feng Ma
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