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
Fingerprint
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.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Gibbs partitions, Riemann-Liouville fractional operators, Mittag-Leffler functions, and fragmentations derived from stable subordinators
Ho, M. W., James, L. F. & Lau, J. W., Jun 2021, In: Journal of Applied Probability. 58, 2, p. 314-334 21 p.Research output: Contribution to journal › Article › peer-review
-
Thinned completely random measures with applications in competing risks models
Lau, J. W. & Cripps, E., Feb 2021, In: Bernoulli. 28, 1, p. 638-662 25 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Remaining useful life prediction: A multiple product partition approach
Lau, J. W., Cripps, E. & Cripps, S., 19 May 2020, (E-pub ahead of print) In: Communications in Statistics: Simulation and Computation.Research output: Contribution to journal › Article › peer-review
-
Research in progress: Explaining the moderating effect of massively multiplayer online (mmo) games on the relationship between flow and game addiction using literature-based discovery (lbd)
Hui, W. & Lau, W. K., 2020, Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2020 Workshops, DSFN, GII, BDM, LDRC and LBD, Revised Selected Papers. Lu, W. & Zhu, K. Q. (eds.). Springer Science + Business Media, p. 20-29 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12237 LNAI).Research output: Chapter in Book/Conference paper › Conference paper › peer-review
-
Variational inference for multiplicative intensity models
Lau, J. W., Cripps, E. & Hui, W., 1 Jun 2020, In: Statistics and Probability Letters. 161, 108720.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)
Datasets
-
A Hidden Markov Regime-Switching Smooth Transition Model
Elliott, R. J. (Creator), Siu, T. K. (Creator) & Lau, J. (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
-
Cyber security assessment and frequency enhancement of smart grid.
Wong, K., Iu, H. C., Huang, D., Lau, J., Dong, Z., Hill, D., Wen, F. & Gan, D.
The University of Western Australia
1/01/14 → 31/12/14
Project: Research