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Philip L.H. Yu
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Associate Professor
B.Sc., Ph.D. (HK)
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Office | : |
Rm 521, Meng Wah Complex |
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Email | : |
plhyu@hku.hk |
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Phone | : |
(852) 2857-8321 |
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Fax | : |
(852) 2858-9041 |
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Courses Taught in 2011-2012 |
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Current Research Interests |
- Data Mining and Statistical Learning.
- Preference Learning. Analysis of Discrete Choice and Ranking Data.
- Financial Data Mining and Modeling.
- Quantitative Risk Management.
- Environmental Statistics.
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Yu, P.L.H. and Lam, K. (1996). Analysis of duplicate
bridge tournament data. Scandinavian Journal of Statistics,
23, 621-633.
Yu. P.L.H. and Lam, K. (1997). How to predict
election winners from a poll. Journal of Applied
Statistics, 24(1), 11-23.
Yu, P.L.H. and Lam, K. (1997). Regression estimator
in ranked set sampling. Biometrics, 53, 1070-1080.
Yu, P.L.H. and Lam, K. and Sinha, B.K. (1997). Estimation of
mean based on an unbalanced ranked set sample.
Applied Statistical Science,II, Nova Science
Publisher Inc, New York, 87-97.
Tam, C.Y.C., Yu, P.L.H. and Fung, W.K. (1998). Sensitivity
analysis of BLUE of mean based on a ranked set sample.
Communication in statistics,
Simulation and Computation, 27(4), 1075-1091.
Yu, P.L.H. and Lam, K. and Sinha, B.K. (1999). Estimation of
variance based on balanced and unbalanced ranked set samples.
Environmental and Ecological Statistics, 6,
23-45.
Yu, P.L.H., Sun, Y. and Sinha, B.K.(1999). On exact confidence intervals
for the common mean of several normal populations. Journal
of Statistical Planning and Inference., 81(2),
263-277.
So, M.K.P. and Yu, P.L.H. (1999). The impact of
Futures and Options tradings on the Hang Seng Index volatility.
International Journal of Finance. 11(1),
1238-1254.
Yu, P.L.H. (2000). Bayesian analysis of order statistics
models for ranking data. Psychometrika. 65,
281-299.
Kwan, J.W.C., Lam, K., So, M.K.P. and Yu, P.L.H. (2000). Forecasting
and trading strategies based on a price trend model.
Journal of Forecasting. 19, 485-498.
Yu, P.L.H. and Chan, L.K.Y. (2001). Bayesian analysis of wandering vector
models
for displaying ranking data. Statistica Sinica. 11, 445-461.
Yu, P.L.H., Lam, K.F. and Alvo, M. (2002).
Nonparametric rank
tests for independence in opinion surveys. Austria Journal of
Statistics.
31(4), 279-290.
Yu, P.L.H. and Tam, C.Y.C.(2002). Ranked set sampling in the presence of
censored data. Environmetrics. 13, 379-396.
Lam, K.F., Yu, P.L.H. and Lee, C.F.(2002). Kernel method for
the estimation of the distribution function and the mean with auxiliary
information in ranked set sampling.
Environmetrics. 13, 397-406.
Yu, P.L.H. Sun, Y. and Sinha, B.K.(2002). Estimation of the
common mean of a bivariate normal population.
Annals of the Institute of Statistical Mathematics. 54(4),
861-878.
Li, W.K. and Yu, P.L.H.(2003). On the residual autocorrelation of the
autoregressive conditional duration model. Economics Letters.
79(2), 169-175.
Leung, G.M., Yu, P.L.H., Wong, I.O.L., Johnston, J.M. and Tin, K.Y.K.
(2003). Incentives and
barriers that influence clinical
computerization in Hong Kong: a population-based physician survey.
Journal of American Medical Informatics Association.
10, 201-212.
Pang, S.M., Sawada, A., Konishi, E., Olsen, D.P., Yu, P.L.H., Chan, M.F. and Mayumi, N.
(2003). A comparative study of Chinese, American and Japanese nurses'
perception of
ethical role responsibilities. Nursing Ethics. 10(3),
295-311.
Yu, P.L.H., Lam, K. and Ng, S.H. (2003).
Automating technical
analysis. In Advances in Data Mining and Modeling: Hong Kong 27
- 28 June 2002. (Edited by Wai-Ki Ching & Michael Kwok-Po Ng), World
Scientific. 85-96.
Yu, P.L.H. (2003). Statistical modelling of ranking data. In
Computational Mathematics and Modeling. (Y. Lenbury, N.V. Sanh, Y.H. Wu
and B. Wiwatanapataphee Eds.). 319-326.
Fung, W.K. and Yu, P.L.H. (2003). SARS case-fatality rates.
Canadian Medical Association Journal. 169(4), 277.
Yu, P.L.H., Lam, K.F. and Lo, S.M. (2005). Factor analysis for ranked data with
application to a job selection attitude survey. Journal of
Royal Statistical Society. Series A. 168(3), 583-597.
Li, W.K., Yu, P.L.H. and Tse, M.K.S. (2005). A vulnerability index for
predicting extreme market events in Hong Kong. International Journal of Applied
Economics. 2(2), 31 pages.
Wu, E.H.C. and Yu, P.L.H. (2005). Volatility modelling of multivariate financial time series
by using ICA-GARCH models. In Intelligent Data Engineering and Automated Learning
- IDEAL 2005, Lecture Notes in Computer Science,
Volume 3578, (M. Gallagher, J. Hogan, and F. Maire (Eds)), 571-579. Springer-Verlag: Berlin.
Wu, E.H.C. and Yu, P.L.H. (2005). Independent component analysis for clustering multivariate
time series data. In Advanced Data Mining and Applications,
Lecture Notes in Artificial Intelligence, Volume 3584, (X. Li, S. Wang, and Z.Y. Dong (Eds)),
474-482. Springer-Verlag: Berlin.
Wu, E.H.C., Yu, P.L.H. and Li, W.K. (2006). An Independent component ordering and selection
procedure based on the MSE criterion. In The 6th International Conference on Independent
Component Analysis and Blind Source Separation (ICA2006),
Lecture Notes in Computer Science, Volume 3889, (J. Rosca et al. (Eds.)),
286-294. Springer-Verlag: Berlin.
Wu, E.H.C. and Yu, P.L.H. (2006). Pattern Recognition of the term structure using independent
component analysis. International Journal of Pattern Recognition and Artificial Intelligence,
20(2), 173-188.
Wu, E.H.C. and Yu, P.L.H. (2006). ICLUS: A robust and scalable clustering model for
time series via independent component analysis. International Journal of Systems
Science. 37(13), 987-1001.
Wu, E.H.C., Yu, P.L.H. and Li, W.K. (2006). Value at risk estimation using ICA-GARCH
models. International Journal of Neural Systems, 16(5), 371-382.
Fung, W.K. and Yu, P.L.H. (2006). New-based learning in Statistics. (Referred)
Proceedings of the 7th International Conference on Teaching Statistics. Salvador, Bahia,
Brazil, 2-7 July 2006.
So, M.K.P. and Yu, P.L.H. (2006). Empirical analysis of GARCH models in Value at Risk
estimation. Journal of International Financial Markets, Institutions & Money,
16(2) 180-197.
Yu, P.L.H., Chan, J.S.K. and Fung, W.K.(2006). To learn a statistics lesson from SARS.
American Statistician, 60(1), 81-91.
Chan, J.S.K., Yu, P.L.H., Lam, Y. and Ho, A.P.K.(2006). Modeling SARS data using threshold
Geometric Process. Statistics in Medicine, 25(1), 1826-1839.
Hui H.C.C., Chiu W.C.K., Yu P.L.H., Cheng K. and Tse H. (2007). The effects of service
climate and the effective leadership behaviour of supervisors on frontline employee service
quality: A multilevel analysis, Journal of Occupational and Organizational Psychology,
80, 151-172.
Yu, P.L.H., Chung, K.H., Lin, C.K., Chan, J.S.K. and Lee, C.K. (2007). Predicting
potential drop-out and future commitment for first time donors based on first one and a half
years donation patterns: the case in Hong Kong Chinese donors. Vox Sanguinis,
93, 57-63.
Fung, J.K.W. and Yu, P.L.H. (2007). Order imbalance and the dynamics of index and
futures prices. Journal of Futures Markets, 27(12), 1129-1157.
Zhao, J.H., Yu, P.L.H. and Jiang, Q. (2008). ML estimation for factor analysis: EM or
non-EM? Statistics and Computing, 18(2), 109-123.
Zhao, J.H. and Yu, P.L.H. (2008). Fast ML estimation for the mixture of factor
analyzers via an ECM algorithm. IEEE Transactions on Neural Networks, 19(11),
1956-1961.
Yu, P.L.H., Wan, W.M. and Lee, P.H. (2008). Analyzing ranking data using decision
tree. (Presented in ECML/PKDD 2008 - Workshop on Preference Learning). In Proceedings of
Preference Learning. Furnkranz, J. and Hullermeier, E. (eds.), 139-156.
Lam. K., Yu, P.L.H. and Xin, L. (2009). Accumulator pricing.
(Presented in IEEE/IAFE Conference on Computational Intelligence for Financial Engineering),
In Proceedings of CIFEr, 72-79.
Kwok, S.S.M., Li, W.K. and Yu, P.L.H. (2009). The autoregressive conditional marked
duration model: statistical inference to market microstructure. Journal of
Data Science, 7, 189-201.
Cheng, X., Yu, P.L.H. and Li, W.K.(2009). On a dynamic mixture GARCH model.
Journal of Forecasting, 28, 247-265.
Zhao, J.H. and Yu, P.L.H.(2009). A note on variational Bayesian factor analysis.
Neural Networks, 22(7), 988-997.
Wu, E.H.C., Yu, P.L.H. and Li, W.K.(2009). A smoothed bootstrap test for independence
based on mutual information. Computational Statistics and Data Analysis,
53(7), 2524-2536.
Yu, P.L.H., Wu, E.H.C. and Li, W.K. (2010). Financial data mining using flexible
ICA-GARCH models. In Shawkat Ali, A B M and Xiang, Yang (eds).
Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations
and Systemic Approaches. Chapter 11, 255-272. Information Science Reference.
Lee, P.H. and Yu, P.L.H. (2010). Distance-based tree models for ranking data.
Computational Statistics and Data Analysis, 54, 1672-1682.
Lam, K., Yu, P.L.H. and Lee, P.H. (2010). A margin scheme that advises on when to
change required margin. European Journal of Operational Research, 207, 524-530.
Yu, P.L.H., Wan, W.M. and Lee, P.H. (2010). Decision tree modelling for ranking data.
To appear in Furnkranz, J. and Hullermeier, E. (eds.) Preference Learning,
83-106, Springer-Verlag.
Jin, S., Li, W.K. and Yu, P.L.H. (2010). On some models for value-at-risk.
Econometric Reviews, 29, 622-641.
Cheng, X., Yu, P.L.H. and Li, W.K.: Basket trading under co-integration with the
logistic mixture autoregressive model. To appear in Quantitative Finance.
Chan, J.S.K., Lam, C.P.Y., Yu, P.L.H., Choy, S.T.B. and Chen, C.W.S.: A Bayesian
conditional autoregressive geometric process model for range data. To appear in
Computational
Statistics and Data Analysis.
Cheng, X., Li, W.K., Yu, P.L.H. and Zhou, X.: Modeling threshold conditional
heteroscedasticity with regime-dependent skewness and kurtosis. To appear in
Computational Statistics and Data Analysis.
Chen, C.W.S., Lin, S. and Yu, P.L.H.: Smooth transition quantile capital asset
pricing models with heteroscedasticity. To appear in
Computational Economics.
Zhao, J.H., Yu, P.L.H. and Kwok, J.T. Bilinear probabilistic principal component analysis.
Zhao, J.H., Yu, P.L.H. and Li, S.L. Separable two-dimensional linear discriminant analysis.
Lee, P.H. and Yu, P.L.H. Mixtures of weighted distance-based models for ranking data with
applications in political studies.
Chan, J.S.K., Wan, W.Y., Lee, C.K., Yu, P.L.H. and Lin, C.K.: Predicting
dropout and committed first time blood donors: the use of Poisson Geometric Process approach.
Yu, P.L.H. and Wan, W.M.: Factor analysis for paired ranked data and
model assessment using Bootstrap predictive checks.
Yu, P.L.H., Chung, K.H. and Leung, H.L.: Bayesian spatial analysis of ranking
data via wandering ideal point models.
Yu, P.L.H., Chui, S.B.: Simulation-based estimation methods for
rank ordered probit models.
Yu, P.L.H. and Chui, S.B.: A maximum entropy approach to recovering
information from ranking data.
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