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These distributions are sampled and used to simulate from multivariate predictive densities.
The method is based on a k-Nearest Neighbor estimate of the Jensen Shannon divergence between the multivariate predictive densities of competing models.
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For multivariate predictive controller, selection of predictive horizon is an input-output pairing problem.
We are seeking a computer science or biostatistical postdoc with experience in multivariate predictive modeling and machine learning.
One strategy is to design postprocessing methods that yield truly multivariate predictive distributions.
The test characteristics of the multivariate predictive model and the neural network were compared.
Brain morphometric data was employed to create multivariate predictive models using learning machine techniques (Figure 67).
The Bayesian regression can be used to calculate predictive densities, similarly to the coefficient densities.
Lack of events hampered our ability to perform robust multivariate predictive modeling.
In multivariate analysis, predictive factors of in-ICU death were IGS II, mechanical ventilation and administration of inotropes.
In a multivariate analysis, predictive factors for treatment failure were age >60 and thrombocytopenia < 20000/mm.
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