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
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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Collaborations and top research areas from the last five years
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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 latent class Cox model for heterogeneous time-to-event data
Pei, Y., Peng, H. & Xu, J., Feb 2024, In: Journal of Econometrics. 239, 2, 16 p., 105351.Research output: Contribution to journal › Journal article › peer-review
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BOLT-SSI: A STATISTICAL APPROACH TO SCREENING INTERACTION EFFECTS FOR ULTRA-HIGH DIMENSIONAL DATA
Zhou, M., Dai, M., Yao, Y., Liu, J., Yang, C. & Peng, H., Oct 2023, In: Statistica Sinica. 33, 4, p. 2327-2358 32 p.Research output: Contribution to journal › Journal article › peer-review
1 Citation (Scopus) -
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization
Dong, Q., Zhou, F., Kang, N., Xie, C., Zhang, S., Li, J., Peng, H. & Li, Z., 27 Jun 2023, Proceedings of the 37th AAAI Conference on Artificial Intelligence. Williams, B., Chen, Y. & Neville, J. (eds.). 1st ed. Washington, DC: AAAI press, p. 4250-4258 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37, no. 4).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
Estimation and order selection for multivariate exponential power mixture models
Chen, X., Feng, Z. & Peng, H., May 2023, In: Journal of Multivariate Analysis. 195, 23 p., 105140.Research output: Contribution to journal › Journal article › peer-review
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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 › Journal article › peer-review
3 Citations (Scopus)
Activities
- 2 Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
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Mathematics (Journal)
Heng PENG (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)
Heng PENG (Associate editor)
2017 → …Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)