Projects per year
Personal profile
Personal profile
B.Sc. (First class with Distinction) in Mathematics,
York University, Canada (1975)
M.A. in Mathematics, York University, Canada (1976)
Ph.D. in Statistics, University of Western Ontario (1981)
Elected Member, International Statistical Institute (1991)
Elected Fellow, American Statistical Association (2003)
Elected Fellow, Institute of Mathematical Statistics (2006)
Honorary Member, Hong Kong Statistical Society, conferred March, 2009
Outstanding Service Award, International Chinese Statistical Association, conferred August, 2009
Emeritus Professor, Univeristy of Hong Kong, conferred May, 2020.
Distinguished Author, Journal of Time Series Analysis, conferred June, 2020.
Research interests
Time Series Analysis;
Financial Econometrics;
Financial Risk Management;
Big Data Analytics;
Environmetrics;
Stochastic Processes with Applications to Hydrology and Climatology;
Extreme Value Theory;
Spatial Statistics;
Sampling Methods
Teaching Interests
Time Series Analysis;
Financial Econometrics;
Financial Risk Management;
Statistical Inference;
Statisitcal Learning;
Elementary Statistics;
General Education on Statistical Thinking.
Professional information
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Dive into the research topics where Wai Keung 李偉強 LI 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
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Projects
- 1 Finished
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Statistical Inferences for Possibly Nonstationary and Nonlinear Time Series Models with a Hysteretic (Buffered) Structure
LI, W. K. (PI), Dr., P. Y. (CoI) & Dr., G. L. (CoI)
01/09/17 → 28/02/21
Project: Research project
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Application of a deep learning algorithm for the diagnosis of HCC
YU, L. H. P., CHIU, K.W.-H., LU, J., LUI, G. C. S., ZHOU, J., CHENG, H.-M., MAO, X., WU, J., SHEN, X.-P., KWOK, K. M., KAN, W. K., HO, Y. C., CHAN, H. T., XIAO, P., MAK, L.-Y., TSUI, V. W. M., HUI, C., LAM, P. M., DENG, Z. & GUO, J. & 7 others, , 2025, In: JHEP Reports. 7, 101219.Research output: Contribution to journal › Articles › peer-review
Open Access1 Citation (Scopus) -
Is there a future for stochastic modeling in business and industry in the era of machine learning and artificial intelligence?
RUGGERI, F., BANKS, D., CLEVELAND, W. S., FISHER, N. I., ESCOBAR-ANEL, M., GIUDICI, P., RAFFINETTI, E., HOERL, R. W., LIN, D. K. J., KENETT, R. S., LI, W. K., YU, L. H. P., POGGI, J. M., REIS, M. S., SAPORTA, G., SECCHI, P., SEN, R., STELAND, A. & ZHANG, Z., 2025, In: Applied Stochastic Models in Business and Industry. 41, e70004.Research output: Contribution to journal › Articles › peer-review
Open Access -
On buffered moving average models
ZHUANG, Y., LI, D., YU, L. H. P. & LI, W. K., 2024, (E-pub ahead of print) In: Journal of Time Series Analysis.Research output: Contribution to journal › Articles › peer-review
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Least absolute deviations estimation for nonstationary vector autoregressive time series models with pure unit roots
ZHENG, Y., WU, J., LI, W. K. & LI, G., Apr 2023, In: Statistics and its Interface. 16, 2, p. 199-216Research output: Contribution to journal › Articles › peer-review
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Testing and modelling for the structural change in covariance matrix time series with multiplicative form
JIANG, F., LI, D., LI, W. K. & ZHU, K., Apr 2023, In: Statistica Sinica. 33, 2, p. 787-818Research output: Contribution to journal › Articles › peer-review