کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
415955 | 681263 | 2011 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Bayesian analysis of the patterns of biological susceptibility via reversible jump MCMC sampling
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Bayesian analysis of the patterns of biological susceptibility via reversible jump MCMC sampling Bayesian analysis of the patterns of biological susceptibility via reversible jump MCMC sampling](/preview/png/415955.png)
چکیده انگلیسی
In some biological experiments, it is quite common that laboratory subjects differ in their patterns of susceptibility to a treatment. Finite mixture models are useful in those situations. In this paper we model the number of components and the component parameters jointly, and base inference about these quantities on their posterior probabilities, making use of the reversible jump Markov chain Monte Carlo methods. In particular, we apply the methodology to the analysis of univariate normal mixtures with multidimensional parameters, using a hierarchical prior model that allows weak priors while avoiding improper priors in the mixture context. The practical significance of the proposed method is illustrated with a dose–response data set.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 55, Issue 3, 1 March 2011, Pages 1498–1508
Journal: Computational Statistics & Data Analysis - Volume 55, Issue 3, 1 March 2011, Pages 1498–1508
نویسندگان
Rui-Yin Liu, Jian Tao, Ning-Zhong Shi, Xuming He,