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This is a preview. Log in through your library . Abstract Generalized linear models are popular for modelling a large variety of data. We consider variable selection through penalized methods by ...
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In order to quickly approximate maximum likelihood estimators from massive data, this study examines the optimal subsampling method under the A-optimality criterion (OSMAC) for generalized linear ...
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