Global ETD Search
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Showing 1 to 3 of 3 for “"Kullback-Liebler Divergence"”.
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Objective Bayesian Analysis of Kullback-Liebler Divergence of two Multivariate Normal Distributions with Common Covariance Matrix and Star-shape Gaussian Graphical Model
… build up constructive random posteriors of the Kullback-Liebler (KL) divergence of the two multivariate normal populations, which is proportional to the distance between the two means, weighted by the common precision matrix. We use the Cholesky decomposition for re-parameterization of the …
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An integrated performance model learning and planning approach for optimal infrastructure facility maintenance under partial observability
… theoretic measure known as asymmetric Kullback-Leibler divergence to determine its goodness. It is also shown that given a set of new observation sequences gathered after the model learning, each of the sequences or the entire set of sequences can be assigned the model that gives the …
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General incentives in finite game theory
… Of particular interest is the use of the Kullback-Leibler divergence as a Lyapunov function to show that an ESS is asymptotically stable for the replicator dynamics. It will be shown that the Kullback-Liebler divergence is also a Lyapunov function for the incentive dynamics at ISS. An …