Gaussian variational approximation for high-dimensional state space models

24 Jan 2018 Matias Quiroz David J. Nott Robert Kohn

Our article considers a Gaussian variational approximation of the posterior density in a high-dimensional state space model. The variational parameters to be optimized are the mean vector and the covariance matrix of the approximation... (read more)

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