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Handbook of Bayesian Variable Selection最新文献

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Balancing Sparsity and Power: Likelihoods, Priors, and Misspecification 平衡稀疏性和能力:可能性、先验和错误说明
Handbook of Bayesian Variable Selection Pub Date : 2021-12-06 DOI: 10.1201/9781003089018-16
D. Rossell, F. Rubio
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引用次数: 1
Stochastic Partitioning for Variable Selection in Multivariate Mixture of Regression Models 多元混合回归模型中变量选择的随机划分
Handbook of Bayesian Variable Selection Pub Date : 2021-12-06 DOI: 10.1201/9781003089018-19
S. Monni, M. Tadesse
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引用次数: 0
Variable Selection with Shrinkage Priors via Sparse Posterior Summaries 基于稀疏后验总结的收缩先验变量选择
Handbook of Bayesian Variable Selection Pub Date : 2021-12-06 DOI: 10.1201/9781003089018-8
Y. Zhang, Weichang Yu, H. Bondell
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引用次数: 0
Variable Selection and Interaction Detection with Bayesian Additive Regression Trees 基于贝叶斯加性回归树的变量选择与交互检测
Handbook of Bayesian Variable Selection Pub Date : 2021-12-06 DOI: 10.1201/9781003089018-17
C. Carvalho, E. George, P. R. Hahn, R. McCulloch
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引用次数: 0
Variable Selection for Bayesian Decision Tree Ensembles 贝叶斯决策树集成的变量选择
Handbook of Bayesian Variable Selection Pub Date : 2021-12-06 DOI: 10.1201/9781003089018-18
A. Linero, Junliang Du
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引用次数: 1
Sparse Bayesian State-Space and Time-Varying Parameter Models 稀疏贝叶斯状态空间和时变参数模型
Handbook of Bayesian Variable Selection Pub Date : 2021-12-06 DOI: 10.1201/9781003089018-13
Sylvia Fruhwirth-Schnatter, Peter Knaus
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引用次数: 2
Variable Selection for Hierarchically-Related Outcomes: Models and Algorithms 层次相关结果的变量选择:模型和算法
Handbook of Bayesian Variable Selection Pub Date : 2021-12-06 DOI: 10.1201/9781003089018-10
H. Ruffieux, L. Bottolo, S. Richardson
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引用次数: 0
Adaptive Computational Methods for Bayesian Variable Selection 贝叶斯变量选择的自适应计算方法
Handbook of Bayesian Variable Selection Pub Date : 2021-12-06 DOI: 10.1201/9781003089018-5
J. Griffin, M. Steel
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引用次数: 1
Effect Selection and Regularization in Structured Additive Distributional Regression 结构加性分布回归的效果选择与正则化
Handbook of Bayesian Variable Selection Pub Date : 2021-12-06 DOI: 10.1201/9781003089018-12
P. Wiemann, T. Kneib, Helga Wagner
{"title":"Effect Selection and Regularization in Structured Additive Distributional Regression","authors":"P. Wiemann, T. Kneib, Helga Wagner","doi":"10.1201/9781003089018-12","DOIUrl":"https://doi.org/10.1201/9781003089018-12","url":null,"abstract":"","PeriodicalId":403293,"journal":{"name":"Handbook of Bayesian Variable Selection","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133440263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
MCMC for Global-Local Shrinkage Priors in High-Dimensional Settings 高维环境下全局-局部收缩先验的MCMC
Handbook of Bayesian Variable Selection Pub Date : 2021-12-06 DOI: 10.1201/9781003089018-7
A. Bhattacharya, J. Johndrow
{"title":"MCMC for Global-Local Shrinkage Priors in High-Dimensional Settings","authors":"A. Bhattacharya, J. Johndrow","doi":"10.1201/9781003089018-7","DOIUrl":"https://doi.org/10.1201/9781003089018-7","url":null,"abstract":"","PeriodicalId":403293,"journal":{"name":"Handbook of Bayesian Variable Selection","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131725980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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