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nonparametric approach based on a combination of kernel logistic regression and ¡support vector regression. …
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A number of recent studies in the economics literature have focused on the usefulness of factor models in the context of prediction using "big data". In this paper, our over-arching question is whether such "big data" are useful for modelling low frequency macroeconomic variables such as...
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context of linear regression models, penalised regression has become the de facto benchmark technique used to trade off … number of advantages over the penalised regression methods: It is based on statistical inference and is therefore easier to …
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-- The correlation coefficient : its values range between plus/minus 1, or do they? -- Logistic regression : the workhorse of … response modeling -- Predicting share of wallet without survey data -- Ordinary regression: the workhorse of profit modeling … -- Variable selection methods in regression: ignorable problem, notable solution -- Chaid for interpreting a logistic regression …
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