Projects per year
Personal profile
Chinese Name
Biography
Dr. PENG Heng, Professor, earned her Ph.D. at the Chinese University of Hong Kong. He joined HKBU after working at Princeton University as a postdoc. Now, he is an associate editor of Computational Statistics and Data Analysis.
Research Interests
Data-analytic Modeling, Regularization Methods and High Dimensional Modeling, Nonparametric and Robust Methods, Mixed and Mixture Modeling, Statistical Computing
Education/Academic qualification
PhD, Chinese University of Hong Kong
1 Aug 2001 → 30 Nov 2003
Award Date: 1 Aug 2004
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Collaborations and top research areas from the last five years
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High-dimensional heterogeneous data modelling by supervised finite mixture of principal components and factor analyzers
PENG, H. (PI)
1/01/27 → 31/12/29
Project: Research project
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Applications of Determining the number of mixture components in Multiple Change-Point Detection and Mixture of the Experts System
PENG, H. (PI)
1/01/23 → 30/06/26
Project: Research project
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Trade-offs between Statistical Efficiency and Complexity of Computation by Discretization and Partial Consistency
PENG, H. (PI)
1/01/19 → 30/06/22
Project: Research project
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Revisiting the generalized likelihood ratio test and its related nonparametric regression inference problems
PENG, H. (PI)
1/01/16 → 30/06/19
Project: Research project
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Determination of the order of finite mixture model and its applications
PENG, H. (PI)
1/01/13 → 30/06/16
Project: Research project
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An Empirical Bayes Algorithm for Variable Selection With Applications in Genetic Fine-Mapping
Dong, Q., Wang, X., Guan, X., Liang, L., Ke, X. & Peng, H., Mar 2026, In: Stat. 15, 1, e70142.Research output: Contribution to journal › Journal article › peer-review
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A tree-based mixture model for heterogeneous mediation analysis
Pei, Y., Peng, H. & Zhang, C., Mar 2026, In: Economics Letters. 261, 6 p., 112838.Research output: Contribution to journal › Journal article › peer-review
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A new estimator for conditional expectile-based value-at-risk of a linear predictive regression
Zhang, F., Ma, Y. & Peng, H., 5 Nov 2025, (E-pub ahead of print) In: Journal of Business and Economic Statistics. 23 p.Research output: Contribution to journal › Journal article › peer-review
1 Citation (Scopus) -
A new Kolmogorov-Smirnov test based on representative points in Weibull distributions
Wang, S., Liang, J., Peng, H. & Ye, H., 2 Nov 2025, In: Communications in Statistics: Simulation and Computation. 54, 11, p. 4504-4518 15 p.Research output: Contribution to journal › Journal article › peer-review
9 Citations (Scopus) -
Calibrated Equilibrium Estimation and Double Selection for High-dimensional Partially Linear Measurement Error Models
Luo, J., Li, G., Peng, H. & Yue, L., 3 Jul 2025, In: Journal of Business and Economic Statistics. 43, 3, p. 710-722 13 p.Research output: Contribution to journal › Journal article › peer-review
11 Citations (Scopus)
Activities
- 2 Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
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Mathematics (Journal)
PENG, H. (Member of editorial board)
2023 → …Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
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Computational Statistics and Data Analysis (Journal)
PENG, H. (Associate editor)
2017 → …Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)