Nonparametric regression techniques such as spline smoothing and local fitting depend implicitly on a parametric model. For instance, the cubic smoothing spline estimate of a regression function ∫ μ ...

Micol Marchetti-Bowick, Yaoliang Yu, Wei Wu, Eric P. Xing, A PENALIZED REGRESSION MODEL FOR THE JOINT ESTIMATION OF EQTL ASSOCIATIONS AND GENE NETWORK STRUCTURE, The Annals of Applied Statistics, Vol.

Akur8 released today a new research paper for the actuarial community entitled “Credibility and Penalized Regression.” Developed by a senior team of a ...

Teipel and colleagues, therefore, used a penalized regression technique, whereby each variable's contribution to the model was limited by how much unique information it provided.

Akur8 released today a new research paper for the actuarial community entitled Credibility and Penalized Regression. Developed by a senior team of actuaries and data scientists at Akur8 the ...

The final predictive models for ORR, PFS, and OS were determined through penalized regression methodology (least absolute shrinkage and selection operator method) to select the most significant ...