Projects per year
Personal profile
Chinese Name
彭衡
Biography
Dr. PENG Heng, Associate 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
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, Chinese University of Hong Kong
1 Aug 2001 → 30 Nov 2003
Award Date: 1 Aug 2004
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Dive into the research topics where Heng PENG is active. Topic labels come from the works of this scholar.
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Applications of Determining the number of mixture components in Multiple Change-Point Detection and Mixture of the Experts System
1/01/23 → …
Project: Research project
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Trade-offs between Statistical Efficiency and Complexity of Computation by Discretization and Partial Consistency
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
1/01/16 → 30/06/19
Project: Research project
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Determination of the order of finite mixture model and its applications
1/01/13 → 30/06/16
Project: Research project
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Statistical Inference for Generalized Varying Coefficient Models
1/01/11 → 30/06/13
Project: Research project
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A new type of robust designs for chemometrics and computer experiments
Fang, K. T., Lin, Y. & Peng, H., 15 Feb 2022, In: Chemometrics and Intelligent Laboratory Systems. 221, 104474.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Cluster analysis with regression of non-Gaussian functional data on covariates
Jiang, J., Lin, H., Peng, H., Fan, G. Z. & Li, Y., Mar 2022, In: Canadian Journal of Statistics. 50, 1, p. 221-240 20 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Network-Based Clustering for Varying Coefficient Panel Data Models
Pei, Y., Huang, T., Peng, H. & You, J., 3 Apr 2022, In: Journal of Business and Economic Statistics. 40, 2, p. 578-594 17 p.Research output: Contribution to journal › Article › peer-review
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Fast inference for semi-varying coefficient models via local averaging
Peng, H., Xie, C. & Zhao, J., May 2021, In: Computational Statistics and Data Analysis. 157, 107126.Research output: Contribution to journal › Article › peer-review
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Varying-coefficient Panel Data Model With Interactive Fixed Effects
Feng, S., Li, G., Peng, H. & Tong, T., Apr 2021, In: Statistica Sinica. 31, 2, p. 935-957 23 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus)