Bayesian estimation of sparse precision matrices in the presence of Gaussian measurement error
Bayesian estimation of sparse precision matrices in the presence of Gaussian measurement error
Estimation of sparse, high-dimensional precision matrices is an important and challenging problem. Existing methods all assume that observations can be made precisely but, in practice, this often is not the case; for example, the instruments used to measure the response may have limited precision. The present paper incorporates measurement error …