Contraction of a quasi-Bayesian model with shrinkage priors in precision matrix estimation

This paper proposes a new method that integrates some commonly used continuous shrinkage priors into a quasi-Bayesian framework featured by a pseudo-likelihood, and establishes an optimal posterior contraction rate for the proposed method.