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However, in this study we make a distinction between multivariate predictive approaches and the classic diffusion index forecasts given by Stock and Watson (2002b).
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Our approach, which is based on multivariate predictive models selects combination of genes to perform predict tumour features.
We use multivariate ordination, models of phenotypic evolution and posterior predictive approaches to investigate the macroevolutionary adaptive landscape and test for evidence of early divergence of locomotor phenotypes in Geophagini.
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 ZL1 aims for a predictive approach.
A predictive approach to nutrient criteria.
For determining PR status, which had the highest discordance between central and local IHC, incorporation of expression of co-regulated genes in a multivariate approach added predictive value, outperforming the single, target gene approach by a 10%% margin in overall accuracy.
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