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stat.ML updates on arXiv.org

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Autoregressive Identification of Kronecker Graphical Models
Mattia Zorzi · 2020-04-29 · via stat.ML updates on arXiv.org

We address the problem to estimate a Kronecker graphical model corresponding to an autoregressive Gaussian stochastic process. The latter is completely described by the power spectral density function whose inverse has support which admits a Kronecker product decomposition. We propose a Bayesian approach to estimate such a model. We test the effectiveness of the proposed method by some numerical experiments. We also apply the procedure to urban pollution monitoring data.

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