Projects per year
Personal profile
Chinese Name
趙崇諾
Biography
Sung Nok Chiu, Professor, earned his BSc and MPhil at the University of Hong Kong and Dr.rer.nat. at TU Bergakademie Freiberg with the support of a DAAD scholarship. He began his career at HKBU more than a quarter century ago, received the HKBU President's Award for Outstanding Performance in Teaching 2015, and presently serves concurrently the Department of Mathematics as Professor and the General Education Office as Director. His research is best represented by the two books that he coauthored: Spatial Tessellations: Concepts and Applications of Voronoi Diagrams and Stochastic Geometry and its Applications, each of which is a key reference in the respective research area and has been widely cited.
Research Interests
Applied Probability
Spatial Statistics
Stochastic Geometry
Voronoi Diagram
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):
Keywords
- Q Science (General)
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Dive into the research topics where Sung Nok CHIU is active. Topic labels come from the works of this scholar.
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Projects
- 6 Finished
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Anisotropy, local interaction and distortions in spatial processes
1/01/11 → 31/12/13
Project: Research project
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Directionality tests and support estimation for spatial point processes
1/01/08 → 31/12/09
Project: Research project
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A constrained maximum likelihood estimation for skew normal mixtures
Jin, L., Chiu, S. N., Zhao, J. & Zhu, L., 30 Jun 2022, (E-pub ahead of print) In: Metrika.Research output: Contribution to journal › Article › peer-review
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Improving p-value approximation and level accuracy of Monte Carlo tests by quasi-Monte Carlo methods
Chiu, S. N. & Liu, K. I., Mar 2022, In: Communications in Statistics Part B: Simulation and Computation. 51, 3, p. 1272-1288 17 p.Research output: Contribution to journal › Article › peer-review
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On variable and random shape Gaussian interpolations
Chiu, S. N., Ling, L. & McCourt, M., 15 Jul 2020, In: Applied Mathematics and Computation. 377, 125159.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Model checking for regressions: An approach bridging between local smoothing and global smoothing methods
Li, L., Chiu, S. N. & Zhu, L., Oct 2019, In: Computational Statistics and Data Analysis. 138, p. 64-82 19 p.Research output: Contribution to journal › Article › peer-review
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Fully adaptive kernel-based methods
Ling, L. & Chiu, S. N., 27 Apr 2018, In: International Journal for Numerical Methods in Engineering. 114, 4, p. 454-467 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)