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Bayesian and frequentist methods for approximate inference in Generalized Linear Mixed Models

机译：广义线性混合模型中的近似推导的贝叶斯和频繁性方法

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作者
Evangelou, Evangelos A.;
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作者单位

The University of North Carolina at Chapel Hill;

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授予单位 The University of North Carolina at Chapel Hill;
学科
学位 Ph.D.
年度 2009
页码 112 p.
总页数 112
原文格式 PDF
正文语种 eng
中图分类
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入库时间 2022-08-17 11:59:50

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1. Approximate Bayesian Inference in Spatial Generalized Linear Mixed Models [J] . JO EIDSVIK, SARA MARTINO, HAVARD RUE Scandinavian journal of statistics . 2009,第1期

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2. Approximate likelihood inference in spatial generalized linear mixed models with closed skew normal latent variables [J] . Communications in Statistics . 2020,第1a2期

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3. Approximate composite marginal likelihood inference in spatial generalized linear mixed models [J] . Hosseini Fatemeh, Karimi Omid Journal of applied statistics . 2019,第1a4期

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4. Frequentist and Bayesian Lasso Techniques for Parameter Selection in Nonlinearly Parameterized Models [C] . Kayla D. Coleman, Kathleen Schmidt, Ralph C. Smith IFAC Symposium on Nonlinear Control Systems . 2017

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5. Bayesian inference for linear and generalized linear models with a flexible prior structure on the covariance matrix [D] . Sinay, Marick S. 2009

机译：协方差矩阵上具有灵活先验结构的线性和广义线性模型的贝叶斯推断
6. Bayesian inference for generalized linear mixed models [O] . Youyi Fong, Håvard Rue, Jon Wakefield -1

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7. Approximate Bayesian Inference in Spatial Generalized Linear Mixed Models [O] . JO EIDSVIK, SARA MARTINO, H�VARD RUE 2008

机译：空间广义线性混合模型中的近似贝叶斯推断

Bayesian and frequentist methods for approximate inference in Generalized Linear Mixed Models

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