Bayesian Analysis of Longitudinal Ordinal Data with Missing Values Using Multivariate Probit Models [0.03%]
基于多元Probit模型的纵向有序缺失数据的贝叶斯分析
Xiao Zhang
Xiao Zhang
In this paper, we propose efficient Bayesian methods to analyze longitudinal ordinal data with missing values using multivariate probit models. Longitudinal ordinal data with substantial missing values are ubiquitous in many scientific fiel...
A M Mathai,Panagis Moschopoulos
A M Mathai
Models, mathematical or stochastic, which move from one functional form to another through pathway parameters, so that in between stages can be captured, are examined in this article. Models which move from generalized type-1 beta family to...