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Consistent selection via the Lasso for high dimensional approximating regression models
<!-- *** Custom HTML *** --> In this article we investigate consistency of selection in regression models via the popular Lasso method. Here we depart from the traditional linear regression assumption and consider approximations of the regression function <i>f</i> with elements of a given dictionary of <i>M</i> functions. The target …