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2 results for G-Wishart

New algorithm speeds up Bayesian structure learning in Gaussian graphical models.

problem Computational bottleneck in evaluating ratios of G-Wishart normalizing constants.
method Explicit closed-form approximation of the ratio of normalizing constants within the search algorithm.
result Significant improvement in scalability of structure learning without sacrificing accuracy.