Issue Date | Title | Author(s) | Citation |

2008 | Analysis of covariance structures in time series | *Chan, Jennifer; Choy, S.T. Boris; Mathematics & Statistics* | *Analysis of covariance structures in time series, Journal of Data Science, vol.6, 4, 2008,pp 573-589* |

2015 | Autoregressive conditional duration model with an extended weibull error distribution | *Chan, Jennifer; Choy, Sai Tsang Boris; Yatigammana, Rasika; Mathematics & Statistics; Business Analytics; Business Analytics* | *Autoregressive conditional duration model with an extended weibull error distribution, Studies in Computational Intelligence, vol.622, N/A, 2015,pp 83-107* |

2016 | Autoregressive Conditional Duration Model with an Extended Weibull Error Distribution | *Chan, Jennifer; Choy, Sai Tsang Boris; Yatigammana, Rasika; Mathematics & Statistics; Business Analytics; Business Analytics* | *Autoregressive Conditional Duration Model with an Extended Weibull Error Distribution in Causal Inference in Econometrics, Springer, 2016, pp. 83-107* |

2016 | Bayesian analysis of Cannabis offences using generalized Poisson geometric process model with flexible dispersion | *Chan, Jennifer; Wan, Wai Yin; Mathematics & Statistics* | *Bayesian analysis of Cannabis offences using generalized Poisson geometric process model with flexible dispersion, Journal of Statistical Computation and Simulation, vol.86, 16, 2016,pp 3315-3336* |

2007 | Bayesian analysis of constant elasticity of variance models | *Chan, Jennifer; Choy, S.T. Boris; Lee, Anna B W; Mathematics & Statistics* | *Bayesian analysis of constant elasticity of variance models, Applied Stochastic Models In Business And Industry, vol.23,(1),2007,pp 83-96* |

2013 | Bayesian analysis of loss reserving using dynamic models with generalized beta distribution | *Chan, Jennifer; Dong, Xiaodan; Mathematics & Statistics; Mathematics & Statistics* | *Bayesian analysis of loss reserving using dynamic models with generalized beta distribution, Insurance: Mathematics and Economics, vol.53, N/A, 2013,pp 355-365* |

2011 | Bayesian analysis of robust Poisson geometric process model using heavy-tailed distributions | *Chan, Jennifer; Wan, Wai; Mathematics & Statistics; Mathematics & Statistics* | *Bayesian analysis of robust Poisson geometric process model using heavy-tailed distributions, Computational Statistics & Data Analysis, vol.55, 1, 2011,pp 687-702* |

2011 | Bayesian approach to analysing longitudinal bivariate binary data with informative dropout | *Chan, Jennifer; Wan, Wai; Mathematics & Statistics; Mathematics & Statistics* | *Bayesian approach to analysing longitudinal bivariate binary data with informative dropout, Computational Statistics, vol.26, 1, 2011,pp 121-144* |

2012 | A Bayesian conditional autoregressive geometric process model for range data | *Chan, Jennifer; Choy, Boris; Lam, Connie; Chen, Cathy W S; Yu, Philip L. H.; Mathematics & Statistics; Business Analytics; Mathematics & Statistics* | *A Bayesian conditional autoregressive geometric process model for range data, Computational Statistics and Data Analysis, vol.56, 11, 2012,pp 3006-3019* |

2016 | Bayesian informative dropout model for longitudinal binary data with random effects using conditional and joint modeling approaches | *Chan, Jennifer; Mathematics & Statistics* | *Bayesian informative dropout model for longitudinal binary data with random effects using conditional and joint modeling approaches, Biometrical Journal, vol.58, 3, 2016,pp 549-569* |

2010 | Binary geometric process model for the modeling of longitudinal binary data with trend | *Chan, Jennifer; Leung, Doris Y P; Mathematics & Statistics* | *Binary geometric process model for the modeling of longitudinal binary data with trend, Computational Statistics, vol.25, N/A,pp 505-536* |

2011 | A comparison of estimators for regression models with change points | *Chan, Jennifer; Gerlach, Richard; Chen, Cathy W S; Hsieh, William; Mathematics & Statistics; Operations Management and Econometrics* | *A comparison of estimators for regression models with change points, Statistics and Computing, vol.21, 3, 2011,pp 395-414* |

2017 | Efficient modelling and forecasting with range based volatility models and its application | *Allen, David; Chan, Jennifer; Peiris, Mahatelge Shelton; Ng, K H; Ng, Kooi Huat; Mathematics & Statistics; Mathematics & Statistics; Mathematics & Statistics* | *Efficient modelling and forecasting with range based volatility models and its application, North American Journal of Economics and Finance, vol.42, N/A, 2017,pp 448-460* |

2014 | An Innovative Financial Time Series Model: The Geometric Process Model | *Chan, Jennifer; Choy, Sai Tsang Boris; Lam, Connie; Mathematics & Statistics; Business Analytics; Mathematics & Statistics* | *An Innovative Financial Time Series Model: The Geometric Process Model in Modeling Dependence in Econometrics, Springer, 2014, pp. 81-99* |

2014 | Modeling Electricity Price Using A Threshold
Conditional Autoregressive Geometric Process
Jump Model | *Chan, Jennifer; Choy, Sai Tsang Boris; Lam, Connie; Mathematics & Statistics; Business Analytics; Mathematics & Statistics* | *Modeling Electricity Price Using A Threshold
Conditional Autoregressive Geometric Process
Jump Model, Communications in Statistics - Theory and Methods, vol.43, 10-12, 2014,pp 2505-2515* |

2013 | Modelling Stochastic Volatility using Generalized t distribution | *Chan, Jennifer; Choy, Boris; Wang, Joanna; Mathematics & Statistics; Business Analytics; Mathematics & Statistics* | *Modelling Stochastic Volatility using Generalized t distribution, Journal of Statistical Computation and Simulation, vol.83, 2, 2013,pp 340-354* |

2014 | Multivariate generalized Poisson geometric process model with scale mixtures of normal distributions | *Chan, Jennifer; Wan, Wai; Mathematics & Statistics; Mathematics & Statistics* | *Multivariate generalized Poisson geometric process model with scale mixtures of normal distributions, Journal of Multivariate Analysis, vol.127, N/A, 2014,pp 72-87* |

2009 | A New Approach for Handling Longitudinal Count Data with Zero-Inflation and Overdispersion: Poisson Geometric Process Model | *Chan, Jennifer; Wan, Wai; Mathematics & Statistics; Mathematics & Statistics* | *A New Approach for Handling Longitudinal Count Data with Zero-Inflation and Overdispersion: Poisson Geometric Process Model, Biometrical Journal, vol.51,(4),2009,pp 556-570* |

2009 | Nonignorable dropout models for longitudinal binary data with random effects: An application of Monte Carlo approximation through the Gibbs output | *Chan, Jennifer; Choy, Sai Tsang Boris; Wan, Wai; Leung, Doris Y P; Mathematics & Statistics; Business Analytics; Mathematics & Statistics* | *Nonignorable dropout models for longitudinal binary data with random effects: An application of Monte Carlo approximation through the Gibbs output, Computational Statistics and Data Analysis, vol.53, 12, 2009,pp 4530-4545* |

2014 | A Poisson geometric process approach for predicting drop-out and committed first-time blood donors | *Chan, Jennifer; Wan, W Y; Yu, Philip L. H.; Mathematics & Statistics* | *A Poisson geometric process approach for predicting drop-out and committed first-time blood donors, Journal of Applied Statistics, vol.41, 7, 2014,pp 1486-1503* |