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We explain the term structure of crude oil prices using the dynamic Nelson Siegel model and propose to forecast oil prices using a generalized regression framework based on neural networks.
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Probit models and logistic regression models both belong to the generalized regression model family.
A generalized regression model is also provided by combining the available data of any cross-section.
The Medicaid paid all-inclusive healthcare costs for the period from 6 months to 3 years of age among children in the medical NEC, surgical NEC and matched control groups were evaluated descriptively, and in a generalized linear regression framework in order to model the impact of NEC over time and by birth weight.
The OR and 95% CI were estimated using a generalized linear-regression framework that incorporates haplotype phase uncertainty by inferring a probability matrix of haplotype likelihoods also implemented in haplo.stats library.
We present generalized gradient boosted ferns (GBFs) for the regression framework, which give better performance than ferns.
The generalized singular value decomposition (GSVD) is a popular regression framework used in joint analysis.
Generalized score tests were used to assess the significance of potential predictors in this regression framework.
This was done by using phylogenetic generalized least-squares [27] because it takes into account the effect of tree structure within a multivariate regression framework (Materials and Methods; Table 3).
Or adultesence might be just the opposite: not evidence of progress but another sign of a generalized regression.
generalized regression neural network.
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