We present Bayesian analyses of matrix-variate normal data with conditional independencies induced by graphical model structuring of the characterizing covariance matrix parameters. This framework of ...

It is well-known that if we have an approximate eigenvalue λ̂ of a normal matrix A of order n, a good approximation to the corresponding eigenvector u can be computed by one inverse iteration provided ...

Cancer cells in lab cultures have not "forgotten" how to be healthy since they can be guided back into their "normal" growth program by giving them the right cues. Applying compressive force to ...