Marginal inferences about variance components in a mixed linear model using Gibbs sampling

CS Wang; JJ Rutledge; D Gianola

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Marginal inferences about variance components in a mixed linear model using Gibbs sampling

机译：使用Gibbs采样的关于混合线性模型中方差成分的边际推断

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《Genetics, selection, evolution》 |1993年第1期|共页
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CS Wang; JJ Rutledge; D Gianola;
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中图分类动物遗传学;
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1. Inference for threshold models with variance components from the generalized linear mixed model perspective [J] . B Engel, W Buist, A Visscher Genetics, selection, evolution . 1995,第1期

机译：从广义线性混合模型的角度推断具有方差成分的阈值模型
2. Inference in mixed linear models with four variance components - Sub-D and Sub-DI [J] . Adilson Da Silva, António Monteiro, Miguel Fonseca International journal of data analysis techniques and strategies . 2020,第4期

机译：具有四个方差分量的混合线性模型的推理 - 子D和Sub-Di
3. Inference for variance components in linear mixed-effect models with flexible random effect and error distributions [J] . Chen Tom, Wang Rui Statistical methods in medical research . 2020,第12期

机译：具有灵活随机效应和误差分布的线性混合效应模型中的方差分量推断
4. GiSS: Combining Gibbs Sampling and Sample Search for Inference in Mixed Probabilistic and Deterministic Graphical Models [C] . Deepak Venugopal, Vibhav Gogate AAAI Conference on Artificial Intelligence . 2013

机译：GIAN：结合GIBBS采样和样品搜索混合概率和确定性图形模型的推断
5. Bayesian analysis of Gaussian mixed linear models using Gibbs sampling with applications in animal breeding [D] . Wang, Cunshan 1993

机译：基于Gibbs采样的高斯混合线性模型的贝叶斯分析及其在动物育种中的应用
6. Marginal inferences about variance components in a mixed linear model using Gibbs sampling [O] . CS Wang, JJ Rutledge, D Gianola 1993

机译：使用Gibbs采样的关于混合线性模型中方差成分的边际推断
7. Marginal inferences about variance components in a mixed linear model using Gibbs sampling [O] . Gianola D, Rutledge JJ, Wang CS 1993

机译：使用Gibbs采样的关于混合线性模型中方差成分的边际推断
8. Some Statistical Inference Problems in Linear Models and Variance Components Models and Their Applications. [R] . Mathew, T. 1993

机译：线性模型和方差分量模型中的一些统计推断问题及其应用。

Marginal inferences about variance components in a mixed linear model using Gibbs sampling

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