Publication Search Results

Matches for:

• Author=Chan JSK

1. Rosner B, Peiris MS, Chan JSK, Marchev D. MATH1015: Biostatistics, Third Edition, Cengage Learning, Australia, (2013), 296. ISBN 978-0170257916

2. Wang JJJ, Choy STB, Chan JSK. Modelling stochastic volatility using generalized t distribution, Journal of Statistical Computation and Simulation, 83 (2013), no. 2, 340–354.

3. Chan JSK, Lam CPY, Yu PLH, Choy STB, Chen CWS. A Bayesian conditional autoregressive geometric process model for range data, Computational Statistics & Data Analysi, 56 (2012), no. 11, 3006–3019.

4. Wan WY, Chan JSK. Bayesian analysis of robust Poisson geometric process model using heavy-tailed distributions, Computational Statistics and Data Analysis, 55 (2011), 687–702.

5. Wang JJJ, Chan JSK, Choy STB. Stochastic Volatility Models with Leverage and Heavy-tailed Distributions: A Bayesian Approach using Scale Mixtures, Computational Statistics and Data Analysis, 55 (2011), 852–862.

6. Rosner B, Peiris MS, Chan JSK, Marchev D. Descriptive Statistics, MATH 1015: Biostatistics, CENGAGE Learning, Australia, (2011), 272. ISBN 978-0170213349

7. Chan JSK, Wan WY. Bayesian approach to analysing longitudinal bivariate binary data with informative dropout, Computational Statistics, 26 (2011), no. 1, 121.

8. Chen CWS, Chan JSK, Gerlach R, Hsieh WYL. A comparison of estimators for regression models with change points, Statistics and Computing, 21 (2011), no. 3, 395–414.

9. Wang JJJ, Choy STB, Chan JSK. Modelling stochastic volatility using generalized t distribution, Journal of Statistical Computation and Simulation, iFirst (2011), no. 2011, 1–15.

10. Chen CWS, Chan JSK, So MKP, Lee KKM. Classification in segmented regression p, Computational Statistics and Data Analysis, 55 (2011), no. 7, 2276–2287.

11. Chan JSK, Leung DYP. Binary geometric process model for the modeling of longitudinal binary data with trend, Computational Statistics, 25 (2010), 505–536.

12. Chan JSK, Leung DYP, Choy STB, Wan WY. Nonignorable dropout models for longitudinal binary data with random effects: An application of Monte Carlo approximation through the Gibbs ouptut, Computational Statistics and Data Analysis, 53 (2009), 4530–4545.

13. Wan WY, Chan JSK. A new approach for handling longitudinal count data with zero-inflation and overdispersion: Poisson Geometric Process Model, Biometrical Journal, 51 (2009), no. 4, 556–570.

14. Choy STB, Chan JSK. Scale mixtures distributions in statistical modelling, Australian and New Zealand Journal of Statistics, 50 (2008), 135–146.

15. Chan JSK, ChoySTB, Makov UE. Robust Bayesian Analysis for Loss Reserves Data using the Generalized-T distribution, ASTIN Bulletin, 38 (2008), 207–230.

16. Chan JSK, Choy STB. Analysis of Covariance Structures in Time Series, Journal of Data Science, 6 (2008), 573–590.

17. Chan JSK, Choy STB, Lee ABW. Bayesian analysis of constant elasticity of variance models, Applied Stochastic Models in Business and Industry, 23 (2007), 83–96. MR2344607

18. Yu PLH, Chung KH, Lee CK, Lin F, Chan JSK. 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 (2007), 57–63.

19. Yu PLH, Chan JSK, Fung WK. Statistical exploration from SARS, American Statistician, 60 (2006), no. 1, 81–91. MR2224142

20. Chan JSK, Yu PLH, Lam Y, Ho APK. Modelling SARS data using threshold geometric process., Statistics in Medicine, 25 (2006), no. 11, 1826–1839. MR2227431

21. Chan JSK, Kuk AYC, Yam CHK. Monte Carlo approximation through Gibbs output in generalized linear mixed models, Journal of Multivariate Analysis, 94 (2005), no. 2, 300–312. MR2167916

22. Lam Y, Zhu L, Chan JSK, Liu Q. Analysis of data from a series of events by a geometric process model, Acta Mathematicae Applicatae Sinica. English Series, 20 (2004), no. 2, 263–282. MR2064005

23. Chan JSK, Lam Y, Leung DYP. Statistical inference for geometric processes with gamma distributions, Computational Statistics & Data Analysis, 47 (2004), no. 3, 565–581. MR2086485

24. Choy STB, Chan JSK, Yam CHK. Robust analysis and salamander data, generalized linear model with random effects, , Bayesian statistics 7, J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith, M. West (eds.), Clarendon Press, Oxford, (2003), 477–484. ISBN 0-19-852615-6 MR2003191

25. Kuk AYC, Chan JSK. Three ways of implementing the EM algorithm when parameters are not identifiable, Biometrical Journal, 43 (2001), no. 2, 207–218. MR1854202

26. Chan JSK. Initial stage problem in autogressive binary regression, The Statistician, 49 (2000), 495–502.

27. Chan JSK, Kuk AYC, Bell J, McGilchrist C. The analysis of methadone clinic data using marginal and conditional logistic models with mixture or random effects, Australian and New Zealand Journal of Statistics, 40 (1998), no. 1, 1–10. MR1628216

28. Yeh L, Chan JSK. Statistical inference for geometric processes with lognormal distribution, Computational Statistics and Data Analysis, 27 (1998), 99–112. MR1615424

29. Chan JSK, Kuk AYC, Bell J. A Likelihood approach to analysing longitudinal bivariate binary data., Biometrical Journal, 39 (1997), no. 4, 409–421.

30. Chan JSK, Kuk AYC. Maximum likelihood estimation for probit-linear mixed models with correlated random effects, Biometrics, 53 (1997), 86–97. MR1450182

31. Bell J, Mattick RP, Hay A, Chan JSK, Hall W. Methadone maintenance and drug-related crime, Journal of Substance Abuse, 9 (1997), 15–25.