Prediction of growth: A hierarchical Bayesian approach | |
Arjas, E ; Liu, LP ; Maglaperidze, N | |
1997 | |
关键词 | growth curve hierarchical modelling predictive distribution Bayesian credible interval GIBBS SAMPLER CURVE MODEL COMPUTATION |
英文摘要 | A nonparametric hierarchical growth curve, model is proposed. Different levels in the model hierarchy are intended to correspond to different sources of variation in an individual's growth. The nonparametric character of the model offers considerable flexibility in fitting the growth curves to empirical data. Here the emphasis is on prediction, and for this purpose the adopted Bayesian inferential approach seems particularly natural and efficient. A Markov chain Carlo method is used to perform the numerical computations. As an illustration of the techniques, we consider the: growth of children, during their first two years.; Mathematical & Computational Biology; Statistics & Probability; SCI(E); 2; ARTICLE; 6; 741-759; 39 |
语种 | 英语 |
出处 | SCI |
出版者 | biometrical journal |
内容类型 | 其他 |
源URL | [http://hdl.handle.net/20.500.11897/219540] |
专题 | 数学科学学院 |
推荐引用方式 GB/T 7714 | Arjas, E,Liu, LP,Maglaperidze, N. Prediction of growth: A hierarchical Bayesian approach. 1997-01-01. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论