Research output per year
Research output per year
Personal profile
Research expertise keywords
- Bayesian statistics
- Bayesian nonparametric statistics
- Mixture modelling
- Statistical clustering
- Monte Carlo Markov chain
- Infinite/finite mixture models
- Finite mixture models
- Statistical filtering
- Random probability measures
- Time–series analysis
- Density estimation
- Statistical computing
- Statistical image analysis
- Statistics
- Statistics computing
- Applied statistics
- Classification
- Computational statistics
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Dive into the research topics where John Lau is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Inverse clustering of Gibbs partitions via independent fragmentation and dual dependent coagulation operators
Ho, M. W., James, L. F. & Lau, J. W., 30 Jul 2025, (E-pub ahead of print) In: Journal of Applied Probability. 18 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Web of Science) -
Mixtures of generalized gamma convolution processes
Lau, J. W., 2025, In: Communications in Statistics - Theory and Methods. 54, 24, p. 8133-8152 20 p.Research output: Contribution to journal › Review article › peer-review
Open Access -
Detecting and Mitigating Algorithmic Bias in Binary Classification using Causal Modeling
Hui, W. & Lau, W. K., 18 Sept 2024, Proceedings - 2024 4th International Conference on Computer Communication and Information Systems, CCCIS 2024. IEEE, Institute of Electrical and Electronics Engineers, p. 47-51 5 p.Research output: Chapter in Book/Conference paper › Conference paper › peer-review
2 Citations (Scopus) -
Mitigating Nonlinear Algorithmic Bias in Binary Classification
Hui, W. & Lau, W. K., 30 Jul 2024, Proceedings - 2024 IEEE Conference on Artificial Intelligence. IEEE, Institute of Electrical and Electronics Engineers, p. 913-917 5 p.Research output: Chapter in Book/Conference paper › Conference paper › peer-review
3 Citations (Scopus) -
Remaining useful life prediction: A multiple product partition approach
Lau, J. W., Cripps, E. & Cripps, S., 2022, In: Communications in Statistics: Simulation and Computation. 51, 9, p. 5288-5307 20 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)
Datasets
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A Hidden Markov Regime-Switching Smooth Transition Model
Elliott, R. J. (Creator), Siu, T. K. (Creator) & Lau, J. W. (Contributor), Code Ocean, 10 Feb 2018
DOI: 10.24433/co.dd77cb0f-e54e-4693-905b-493a86cfd345, https://codeocean.com/2018/02/09/a-hidden-markov-regime-switching-smooth-transition-model
Dataset
Projects
- 1 Finished
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Cyber security assessment and frequency enhancement of smart grid.
Wong, K. (Chief Investigator), Iu, H. C. (Investigator 02), Huang, D. (Investigator 03), Lau, J. (Investigator 04), Dong, Z. (Investigator 05), Hill, D. (Investigator 06), Wen, F. (Investigator 07) & Gan, D. (Investigator 08)
The University of Western Australia
1/01/14 → 31/12/14
Project: Research