Jennifer So-kuen Chan

Jennifer Chan Lecturer in the School of Mathematics and Statistics at the University of Sydney.

Postal address: Dr Jennifer So-kuen Chan
School of Mathematics and Statistics F07
University of Sydney NSW 2006
Australia
Office: Room 817 Carslaw Building
Email: jchan@maths.usyd.edu.au
Phone: +61 2 9351 4873
FAX: +61 2 9351 4534

Research Interests

Generalized Linear Mixed Model, Bayesian robustness, heavy tail distributions, scale mixture distributions, geometric process for time series data, drop-out models, application for insurance data.

I am a member of the Statistics group.

General Information

Jennifer Chan did her PhD at The University of New South Wales, Sydney and was graduated in 1997. From 1996, she lectured at the University of Hong Kong before joining the Statistics Department in 2006.

Publications

  • Bell, J., Chan, J. and Kuk, A., (1995) Investigating the influence of treatment philosophy on outcome of methadone maintenance. Addiction 90, 823-830.
  • Bell, J., Wand, J., Mattick, R., Hay, A., Chan, J. and Hall, W. (1995) An Evaluation of Private Methadone Clinics. Commonwealth of Australia.
  • Chan, J.S.K. and Kuk, A.Y.C., (1997) Maximum likelihood estimation for probit-linear mixed models with correlated random effects. Biometrics 53, 86-97.
  • Chan, J.S.K., Kuk, A.Y.C. and Bell, J., (1997) A Likelihood approach to analysing longitudinal bivariate binary data. Biometrical Journal. 39, No.4, 409-421.
  • Bell, J., Mattick, R.P., Hay, A., Chan, J. and Hall, W., (1997) Methadone maintenance and drug-related crime, Journal of Substance Abuse 9, 15-25.
  • Chan, J.S.K., Kuk, A.Y.C., Bell, J. and McGilchrist, C. (1998). The analysis of methadone clinic data using marginal and conditional logistic models with mixture or random effects, The Australian & New Zealand Journal of Statistics 40, No.1, 1-10.
  • Yeh, L. and Chan, S.K. (1998) Statistical inference for geometric processes with lognormal distribution. Computing Statistics and Data Analysis 27, 99-112.
  • Chan, J.S.K. (2000) Initial stage problem in autoregressive binary regression. The Statistician 49, 495-502.
  • Kuk, A.Y.C. and Chan, J.S.K. (2001) Three ways of implementing the EM algorithm when parameters are not identificiable. Biometrical Journal 43, No.2, 207-218.
  • Choy, B.S.T., Chan, J.S.K. and Yam, H.K. (2002) Robust analysis on salamander data, Generalized Linear model with random effects. Bayesian Statistics 7, 477-484. Oxford, UK: Oxford University Press.
  • Chan, J.S.K. , Yeh, L and Leung, D.Y.P. (2004) Statistical inference for geometric processes with Gamma distributions. Computational Statistics and Data Analysis , 47 , 565-581.
  • Lam, Y., Zhu, L.X. and Chan, J.S.K. (2004) Data analysis for a series of events by the geometric process model. Acta Mathematicae Applicatae Sinica, English series , 20 , 263-282.
  • Chan, J.S.K. , Choy, S.T.B. and Makov, U.E. (2004) The growing triangle technique for assessing methods of loss reserving. Proceedings of the 3rd Conference in Actuarial Science and Finance , held in Samos, on September 2-5, 2004. Webpage: http://www.stat.ucl.ac.be/Samos2004/mainpage.html.
  • Chan, J.S.K. , Kuk, A.Y.C. and Yam, H.K. (2005) Monte Carlo Approximation through Gibbs output in Generalized linear mixed models. Journal of Multivariate Analysis , 94 , 300-312.
  • 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 , 1826-1839.
  • Yu, P.L.H., Chan, J.S.K. and Fung, W.K. (2006) Statistical Exploration from SARS. The American Statistician , February 2006, Vol. 60, No. 1.
  • Chan, J.S.K. , Choy, S.T.B. and Lee, A.B.W. (2007) Bayesian Analysis of Constant Elasticity of Variance Models, Applied Stochastic Models in Business and Industry , 23 , 83-96.
  • Chan, J.S.K. and Choy, S.T.B. Analysis of Correlation Structures using Generalized Estimating Equation Approach for Longitudinal Binary Data. To appear in Far East Journal of Mathematical Sciences .
  • Yu, P.L.H., Chung, K.H., Lee, C.K., Lin, C.K. and Chan, J.S.K. 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. To appear in Vox Sanguinis .

    Teaching

  • MATH1015: Life Science Statistics

    Other Links

  • School of Mathematics and Statistics
  • Faculty of Science
  • Statistic jokes
  • Reasons to be a statistician