Bayesian semi parametric multi-state models
نویسندگان
چکیده
منابع مشابه
Bayesian semiparametric multi-state models
Multi-state models provide a unified framework for the description of the evolution of discrete phenomena in continuous time. One particular example are Markov processes which can be characterised by a set of time-constant transition intensities between the states. In this paper, we will extend such parametric approaches to semiparametric models with flexible transition intensities based on Bay...
متن کاملSemi-parametric Bayesian Partially Identified Models based on Support Function*
We provide a comprehensive semi-parametric study of Bayesian partially identified econometric models. While the existing literature on Bayesian partial identification has mostly focused on the structural parameter, our primary focus is on Bayesian credible sets (BCS’s) of the unknown identified set and the posterior distribution of its support function. We construct a (two-sided) BCS based on t...
متن کاملBayesian Identification of Semi-Parametric Binary Response Models
In this paper, minimal conditions under which a semi-parametric binary response model is identified in a Bayesian framework are presented and compared to the conditions usually required in a sampling theory framework. Running headline: Semi-parametric Binary Response Models.
متن کاملA semi-parametric Bayesian approach to generalized linear mixed models.
The linear mixed effects model with normal errors is a popular model for the analysis of repeated measures and longitudinal data. The generalized linear model is useful for data that have non-normal errors but where the errors are uncorrelated. A descendant of these two models generates a model for correlated data with non-normal errors, called the generalized linear mixed model (GLMM). Frequen...
متن کاملFlexible random-effects models using Bayesian semi-parametric models: applications to institutional comparisons.
Random effects models are used in many applications in medical statistics, including meta-analysis, cluster randomized trials and comparisons of health care providers. This paper provides a tutorial on the practical implementation of a flexible random effects model based on methodology developed in Bayesian non-parametrics literature, and implemented in freely available software. The approach i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Statistical Modelling
سال: 2008
ISSN: 1471-082X,1477-0342
DOI: 10.1177/1471082x0800800203