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Wangjingli

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Graduate School: National University of Singapore

Email: jlwang(at)nankai.edu.cn

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  • Department: School of Statistics and Data Science
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  • Graduate School: National University of Singapore
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  • Email: jlwang(at)nankai.edu.cn
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  • Address School: Fansun Building #333
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Education

2011-2015 Jilin University, School of Mathematics, B.Sc

2015-2019 National University of Singapore, Department of Statistics and Applied Probability, Ph.D


WorkExperience

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Research Fields

Structural equation model, subgroup identification, precision medicine, community detection

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Publications

Loraine Liping Seng, Ching‐Ti Liu, Jingli Wang, & Jialiang Li*. Instrumental variable model average with applications in Mendelian randomization, Statistics in Medicine, 2023.


Qing Huan & Jingli Wang*.  Applications of dual regularized Laplacian matrix for community detection, Advances in Data Analysis and Classification, 2023.


Qing Huan & Jingli Wang*.  Regularized spectral clustering under the mixed membership stochastic block model, Neurocomputing, 2023.


Qing Huan & Jingli Wang*. Community detection for weighted bipartite networksKnowledge-Based Systems,2023.


Qing Huan & Jingli Wang*. Estimating mixed-memberships using the symmetric Laplacian inverse matrixJournal of the Korean Statistical Society,2023.


Jingli Wang & Jialiang Li*. Multi-Threshold Structural Equation Model, Journal of Business & Economic Statistics, 2022.


Xuejun Ma, Yue Du* & Jingli Wang. Model detection and variable selection for mode varying coefficient model, Statistical Methods & Applications, 2022.


Jingli Wang, Jialiang Li, Yaguang Li & Weng Kee Wong*. A model-based multi-threshold method for subgroup identification, Statistics in Medicine2019,38(14):2605-2631.


Fang Fang, Jialiang Li* & Jingli Wang. Optimal model averaging estimation for correlation structure in generalized estimating equations, Communications in Statistics-Simulation and Computation. 2019, 48(5):1574-1593.


Jingli Wang & Jialiang Li*. Semi-parametric model averaging prediction: a Bayesian approach, Australian & New Zealand Journal of Statistics, 2018, 60(4): 407-422.





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