Publication Search Results
Exact matches for:
- Author = Wan WY [web profile page]
1.
Chan JSK, Wan WY
Jennifer So Kuen Chan and Wai Yin Wan:
Bayesian analysis of Cannabis offences using generalized Poisson geometric process model with flexible dispersion,
Journal of Statistical Computation and Simulation,
86
(2016),
no. 16,
3315–3336.
MR3534582
2.
Chan JSK, Wan WY, Yu PLH
J S K. Chan, W Y Wan and P L H Yu:
A Poisson geometric process approach for predicting drop-out and committed first-time blood donors,
Journal of Applied Statistics,
41
(2014),
no. 7,
1486–1503.
3.
Chan JSK, Wan WY
Chan, Jennifer So kuen and Wan, Wai Yin:
Multivariate generalized Poisson geometric process model with scale mixtures of normal distributions,
Journal of Multivariate Analysis,
127
(2014),
72–87.
4.
Chan JSK, Wan WY
Jennifer S K Chan, Wai Y Wan:
Bayesian approach to analysing longitudinal bivariate binary data with informative dropout,
Computational Statistics,
26
(2011),
no. 1,
121.
5.
Wan WY, Chan JSK
Wan, W.Y. and Chan, J.S.K.:
Bayesian analysis of robust Poisson geometric process model using heavy-tailed distributions,
Computational Statistics and Data Analysis,
55
(2011),
687–702.
6.
Wan WY, Chan JSK
W Y Wan and JSK Chan:
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.
7.
Chan JSK, Leung DYP, Choy STB, Wan WY
Jennifer S K Chan, Doris Y P Leung, S T Boris Choy and Wai Y Wan:
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.
8.
Choy STB, Wan WY, Chan CM
B S T Choy, W Y Wan and C M Chan:
Bayesian Student-t-Stochastic Volatility Models via Scale Mixtures,
Advances in Econometrics,
23
(2008),
595–618.
| Number of matches: 8 |