This paper proposes a new survival model, called Poisson Inverse-Gaussian regression
cure rate model (PIGcr), which enables different underlying activation mechanisms that lead …

In the development of nonlinear reproductive dispersion mixed models, it is commonly
assumed that distribution of random effects is normal. The normality assumption is likely …

Count datasets are traditionally analyzed using the ordinary Poisson distribution. However,
said model has its applicability limited, as it can be somewhat restrictive to handling specific …

In the course of any statistical analysis, it is necessary to consider issues of data quality and
model appropriateness. Value of information methods were initially put forward in the middle …

This paper presents proportional odds cure models to allow spatial correlations by including
spatial frailty in the interval censored data setting. Parametric cure rate models with …

Although Bayesian inference is an immensely popular paradigm among a large segment of
scientists including statisticians, most applications consider objective priors and need critical …

In this work, we propose a flexible cure rate model to allow for spatial correlations by
including spatial frailty in the interval-censored data setting. The proposed model is quite …

In discrete choice experiments, patients are presented with sets of health states described
by various attributes and asked to make choices from among them. Discrete choice …

贝叶斯网络的灵敏性分析是研究模型局部参数或证据微小变化对于目标结点所产生的影响,
以发现复杂系统的重要参数和结构. 然而对于动态贝叶斯网络, 当前还没有一种有效的灵敏性 …

In this article, we develop Bayesian inference for the unit-Gamma (GU) distribution, initially
introduced by Grassia (1977). This distribution is highly flexible, allowing it to take various …