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First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The paper introduces the case of estimating a sparse chain graphical model in a high-dimensional data setting. It estimates a sparse autoregressive and sparse covariance structure. The method considers one-and multi-levels chain graphical models. The examples and applications are interesting.