<p>Histogram showing the predictive distributions (probability mass functions) on the number of falls for four samples at the 2.5<sup>th</sup>, 10<sup>th</sup>, 90<sup>th</sup>, and 97.5<sup>th</sup> percentiles of the Lasso risk score. These are compared with the distribution of the number of falls in the InCHIANTI population (in gray).</p
<p>ROC curves of the Lasso model and the other risk indicators (number of previous falls, gait speed...
<p><sup>a</sup> Posterior mean of the OR, calculated from the BTL analyses Similar values for the me...
Lasso has been shown to be effective in variable selection and sparse modeling. It can be applied to...
<p>(A) Reliability diagram: observed vs predicted fall rate, obtained from grouping samples accordin...
<p>(A) Distribution of scores of the SVM method. The vertical line indicates the cutoff for the sele...
The least absolute selection and shrinkage operator (LASSO) is a method of estimation for linear mod...
© 2009 Australian Statistical Publishing Association Inc. Copyright © 2009 John Wiley & Sons, Inc.Th...
Lasso regularization-based distributions of FDR and FPR for variable selection performed across 500 ...
We study the degrees of freedom of the Lasso in the framework of Stein's unbiased risk estimati...
<p>The x-axis show the parameter ranges comprised by each of the 10 bins. The y-axis shows the absol...
January 2014–September 2016 shows predicted complication rates of the training data, and October 201...
We study the distributions of the LASSO, SCAD, and thresholding estimators, in finite samples and in...
We study the distributions of the LASSO, SCAD, and thresholding estimators, in finite samples and in...
<p>*95% confidence interval, estimated from the 2.5<sup>th</sup> and 97.5<sup>th</sup> percentiles o...
<p>A. Histogram of p-values used by predictors in LASSO4. X-axis shows the–Log<sub>10</sub> of the p...
<p>ROC curves of the Lasso model and the other risk indicators (number of previous falls, gait speed...
<p><sup>a</sup> Posterior mean of the OR, calculated from the BTL analyses Similar values for the me...
Lasso has been shown to be effective in variable selection and sparse modeling. It can be applied to...
<p>(A) Reliability diagram: observed vs predicted fall rate, obtained from grouping samples accordin...
<p>(A) Distribution of scores of the SVM method. The vertical line indicates the cutoff for the sele...
The least absolute selection and shrinkage operator (LASSO) is a method of estimation for linear mod...
© 2009 Australian Statistical Publishing Association Inc. Copyright © 2009 John Wiley & Sons, Inc.Th...
Lasso regularization-based distributions of FDR and FPR for variable selection performed across 500 ...
We study the degrees of freedom of the Lasso in the framework of Stein's unbiased risk estimati...
<p>The x-axis show the parameter ranges comprised by each of the 10 bins. The y-axis shows the absol...
January 2014–September 2016 shows predicted complication rates of the training data, and October 201...
We study the distributions of the LASSO, SCAD, and thresholding estimators, in finite samples and in...
We study the distributions of the LASSO, SCAD, and thresholding estimators, in finite samples and in...
<p>*95% confidence interval, estimated from the 2.5<sup>th</sup> and 97.5<sup>th</sup> percentiles o...
<p>A. Histogram of p-values used by predictors in LASSO4. X-axis shows the–Log<sub>10</sub> of the p...
<p>ROC curves of the Lasso model and the other risk indicators (number of previous falls, gait speed...
<p><sup>a</sup> Posterior mean of the OR, calculated from the BTL analyses Similar values for the me...
Lasso has been shown to be effective in variable selection and sparse modeling. It can be applied to...