Anthony Y. C. Kuk

Anthony Y. C. Kuk


Contact No 
E-mail address 
6516 8922



B.A. in Mathematics,               Rutgers University, U.S.A. 
Ph.D in Statistics,                    Stanford University, U.S.A. 

Research Interests:   

Selected Publications:

  1. Kuk, A.Y.C. (1984) All subsets regression in a proportional hazards model. Biometrika, 71, 587-592. 

  2. Kuk, A.Y.C. (1988) Estimation of distribution functions and medians under sampling with unequal probabilities. Biometrika, 75, 97-103.

  3. Kuk, A.Y.C. and Mak, T.K. (1989) Median estimation in the presence of auxiliary information. J. R. Statist. Soc. B, 51, 261-269.

  4. Kuk, A.Y.C. (1990) Asking sensitive questions indirectly. Biometrika, 77, 436-438.

  5. Kuk, A.Y.C. and Chen, C.H. (1992) A mixture model combining logistic regression with proportional hazards regression. Biometrika, 79, 187-200.

  6. Kuk, A.Y.C. (1993) A kernel method for estimating finite population functions using auxiliary information. Biometrika, 80, 385-392.

  7. Kuk, A.Y.C. (1995) Asymptotically unbiased estimation in generalized linear models with random effects. J. R. Statist. Soc. B, 57, 395-407. 

  8. 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.

  9. Lam, K.F. and Kuk, A.Y.C. (1997) A marginal likelihood approach to estimation in frailty models. J. Am. Statist. Assoc., 92, 985-990.

  10. Kuk, A.Y.C. and Cheng, Y.W. (1999) Pointwise and functional approximations in Monte Carlo maximum likelihood estimation. Statistics and Computing, 9, 91-99.

  11. Kuk, A,Y.C. and Nott, D.J. (2000) A pairwise likelihood approach to analyzing correlated binary data. Statistics & Probability Letters, 47, 329-335.

  12. Kuk, A.Y.C. and Welsh, A.H. (2001) Robust estimation for finite populations based on a working model. J. R. Statist. Soc. B., 63, 277-292.

  13. Yau, K.K.W. and Kuk, A.Y.C. (2002) Robust estimation in generalized linear mixed models. J. R. Statist. Soc. B., 64, 101-117.

  14. Cheng, Y.W. and Kuk, A.Y.C. (2002) Determination of the unknown age at first capture of western rock lobsters (Panulirus cygnus) by random effects model. Biometrics, 58, 459-462.

  15. Kuk, A.Y.C. (2003) A generalised estimating equation approach to modelling foetal response in developmental toxicity studies when number of implants is dose-dependent. Applied Statistics, 52, 51-61.

  16. Kuk, A.Y.C. (2003) Automatic choice of driving values in Monte Carlo likelihood approximation via posterior simulations. Statistics and Computing, 13, 101-109.

  17. Kuk, A,Y.C. (2004) A litter-based approach to risk assessment in developmental toxicity studies via a power family of completely monotone functions. Applied Statistics, 53, 369-386.

  18. Kuk, A.Y.C. (2004) Permutation invariance of alternating logistic regression for multivariate binary data. Biometrika, 91, 758-761.

  19. Kuk, A. Y. C. and Ma, S. (2005) The estimation of SARS incubation distribution from serial interval data using a convolution likelihood. Statistics in Medicine, 24, 2525-2537.

  20. Nott, D.J., Kuk, A.Y.C. and H. Duc. (2005) Efficient sampling schemes for Bayesian MARS models with many predictors. Statistics and Computing, 15, 93-101.

  21. Pang, Z. and Kuk, A.Y.C. (2005) A shared response model for clustered binary data in developmental toxicity studies. Biometrics, 61, 1076-1084..

  22. Pang, Z. and Kuk, A.Y.C. (2007) Test of marginal compatibility and smoothing methods for exchangeable binary data with unequal cluster sizes. Biometrics, 63, 618-27.

  23. Nott, D.J. and  Kuk, A.Y.C. (2007) Coefficient sign prediction methods for model selection. J. R. Statist. Soc. B., 69, 447-61.

  24. Kuk, A.Y.C. (2007)  A hybrid pairwise likelihood method. Biometrika, 94, 939-52.

  25. Kuk, A.Y.C. (2008)  Discussion on “Sampling bias and logistic models” by Peter McCullagh. J. R. Statist. Soc. B., 70, 670-71.

  26. Kuk, A.Y.C. and Tan, C.C. (2009)  Estimating the time varying rate of transmission of SARS in Singapore and Hong Kong under two environments. J. Am. Statist. Assoc, 104, 88-96.

  27. Kuk, A.Y.C., Zhang, H. and Yang, Y. (2009) Computationally feasible estimation of haplotype frequencies from grouped DNA with and without Hardy-Weinberg equilibrium. Bioinformatics, 25, 379-386.

  28. Kuk, A.Y.C. and Xu, J. (2009) Relative efficiency of the fuzzy p-value approach to hypothesis testing. International Statistical Review, 77, 395-404.

  29. Kuk, A.Y.C., Li, J. and Rush, J.A. (2010) Recursive subsetting: A method to enhance the accuracy of early prediction of treatment outcome and to inform personalized care. Journal of Clinical Psychiatry, 71, 1502-1508..

  30. Hua, X., Zhang, H., Zhang, H., Yang, Y. and Kuk, A.Y.C. (2010) Testing multiple gene interactions by the ordered combinatorial partitioning method in case-control studies. Bioinformatics, 26, 1871-1878.

  31. Kuk, A.Y.C., Xu, J. and Yang, Y. (2010) A study on the efficiency of pooling in haplotype estimation. Bioinformatics, 26, 2556-2563.

  32. Li, J., Kuk, A.Y.C. and Rush, J.A. (2012) A practical approach to the early identification of antidepressant medication responders. Psychological Medicine, 42, 309-316.

  33. Kuk, A.Y.C., Li, X. and Xu, J. (2013) A fast collapsed data method for estimating haplotype frequencies from pooled genotype data with applications to the study of rare variants. Statistics in Medicine, 32, 1343-1360.

  34. Kuk, A. Y. C., Li, J. & Rush, J. A. (2014) Variable and threshold selection to control predictive accuracy in logistic regression. Applied Statistics, 63, 657–672.


  35. Li, X., Kuk, A. Y. C. & Xu, X. (2014) Empirical Bayes Gaussian likelihood estimation of exposure distributions from pooled samples in human biomonitoring. Statistics in Medicine, 33, 4999-5014.
  36. Xu, J. & Kuk, A. Y. C. (2015). On pooling of data and its efficiency. International Statistical Review, 83, 309-323.
  37. Tran, N-H, Nott, D. J., Kuk, A. Y. C. & Kohn, R. (2016) Parallel variational Bayes for large datasets with an application to generalized linear mixed models. Journal of Computational and Graphical Statistics, 25, 626-646.
  38. Kuk, A. Y. C. (2017) Functional compositional adjustments of conditional quantile curves. Computational Statistics and Data Analysis, 115, 281-293.


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