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stat.ME2020
Penalized composite likelihood for colored graphical Gaussian models
Qiong Li, Xiaoying Sun, Nanwei Wang
This paper proposes a penalized composite likelihood method for model selection in colored graphical Gaussian models. The method provides a sparse and symmetry-constrained estimato…
stat.ME2020
Bayesian model selection approach for colored graphical Gaussian models
Qiong Li, Xin Gao, Helene Massam
We consider a class of colored graphical Gaussian models obtained by placing symmetry constraints on the precision matrix in a Bayesian framework. The prior distribution on the pre…