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Rejoinder to Discussants of “Sentencing Convicted Felons in the United States: A Bayesian Analysis Using Multilevel Covariates”

机译：对“在美国判处被定罪的罪犯：使用多级协变量进行贝叶斯分析”的讨论者的反驳

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Iain Pardoe; Robert R. Weidner;
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年度 2014
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2. Rejoinder on: Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates [J] . F. Bartolucci, A. Farcomeni, F. Pennoni Test: An Official Journal of the Spanish Society of Statistics and Operations Research . 2014,第3期

机译：关于：潜在马尔可夫模型的重新结合：审查带有协变量的纵向数据的一般框架的回顾
3. A Bayesian Sparse Generalized Linear Model With an Application to Multiscale Covariate Discovery for Observed Rainfall Extremes Over the United States [J] . Das Debasish, Ganguly Auroop R., Obradovic Zoran Geoscience and Remote Sensing, IEEE Transactions on . 2015,第12期

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机译：混合效应模型中的贝叶斯协变量选择纵向形状分析
5. Nonparametric multilevel latent class analysis with covariates: An approach to classification in multilevel contexts [D] . Chang, Chi. 2016

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6. In Search of Covariates of HIV-1 Subtype B Spread in the United States—A Cautionary Tale of Large-Scale Bayesian Phylogeography [O] . Samuel L. Hong, Simon Dellicour, Bram Vrancken, 2020

机译：寻找在美国传播的HIV-1 B型亚型的协变量—大型贝叶斯唱片的警示故事
7. Rejoinder on: Latent Markov models: A review of a general framework for the analysis of longitudinal data with covariates [O] . F. Bartolucci, Alessio Farcomeni, F. Pennoni 2014

机译：关于：潜在的马尔可夫模型：关于协变量的纵向数据分析的一般框架的回顾
8. State Court Sentencing of Convicted Felons, 2002 Statistical Tables [R] . Durose, M. R., Langan, P. A. 2005

机译：国家法院对被定罪者的判决，2002年统计表

Rejoinder to Discussants of “Sentencing Convicted Felons in the United States: A Bayesian Analysis Using Multilevel Covariates”

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