本研究针对高斯图模型(Gaussian graphical model)在异常值干扰下估计不稳健的问题，提出基于γ-发散度(γ-divergence)的鲁棒贝叶斯图模型。通过构建与频率学派γ-lasso估计相匹配的后验分布，实现了对逆协方差矩阵(Ω)的自动异常值过滤，并开发了加权贝叶斯自助法 ...

(a) Disease progression can be classified into three states: the normal stage, pre-disease stage and disease stage, with the pre-disease stage representing a critical threshold just before the onset ...

基于PHQ-9量表和两 nationally representative samples（N=51,970），研究通过Gaussian graphical model揭示中国居民抑郁网络结构及中心症状随 ...

(a) Disease progression can be classified into three states: the normal stage, pre-disease stage and disease stage, with the pre-disease stage representing a critical threshold just before the onset ...