Joint modeling of mixed skewed continuous and ordinal longitudinal responses: a Bayesian approach

M Teimourian, T Baghfalaki, M Ganjali… - Journal of Applied …, 2015 - Taylor & Francis
In this paper, a joint model for analyzing multivariate mixed ordinal and continuous
responses, where continuous outcomes may be skew, is presented. For modeling the …

Estimation in shape mixtures of skew-normal linear regression models via ECM coupled with Gibbs sampling

Z Alizadeh Ghajari, K Zare, S Shokri - Monte Carlo Methods and …, 2024 - degruyter.com
In this paper, we study linear regression models in which the error term has shape mixtures
of skew-normal distribution. This type of distribution belongs to the skew-normal (SN) …

Model-based Computed Tomography Image Estimation: Partitioning Approach

FL Bayisa, J Yu - arXiv preprint arXiv:1705.03799, 2017 - arxiv.org
There is a growing interest to get a fully MR based radiotherapy. The most important
development needed is to obtain improved bone tissue estimation. The existing model …

A linear mixed model for analyzing longitudinal skew-normal responses with random dropout

M Ganjali, T Baghfalaki, M Khazaei - Journal of the Korean Statistical …, 2013 - Elsevier
In this paper, a linear mixed effects model is used to fit skewed longitudinal data in the
presence of dropout. Two distributional assumptions are considered to produce background …

Model-based computed tomography image estimation: partitioning approach

FL Bayisa, J Yu - Journal of Applied Statistics, 2019 - Taylor & Francis
There is a growing interest to get a fully MR based radiotherapy. The most important
development needed is to obtain improved bone tissue estimation. The existing model …