当前位置：
X-MOL 学术
›
J. Am. Stat. Assoc.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2024-08-30 , DOI: 10.1080/01621459.2024.2395504 Lucas Vogels 1 , Reza Mohammadi 1 , Marit Schoonhoven 1 , Ş. İlker Birbil 1
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2024-08-30 , DOI: 10.1080/01621459.2024.2395504 Lucas Vogels 1 , Reza Mohammadi 1 , Marit Schoonhoven 1 , Ş. İlker Birbil 1
Affiliation
Gaussian graphical models provide a powerful framework to reveal the conditional dependency structure between multivariate variables. The process of uncovering the conditional dependency network is...
中文翻译：
无向高斯图模型中的贝叶斯结构学习：文献综述与实证比较
高斯图模型提供了一个强大的框架来揭示多元变量之间的条件依赖结构。揭示条件依赖网络的过程是......
更新日期：2024-08-30
中文翻译：
无向高斯图模型中的贝叶斯结构学习：文献综述与实证比较
高斯图模型提供了一个强大的框架来揭示多元变量之间的条件依赖结构。揭示条件依赖网络的过程是......
京公网安备 11010802027423号