Our aim is to investigate the performance of different variable selection methods, focusing on a statistical procedure suitable for the competing risks model. In this setting, same variables might have different degrees of influence on the risks due to multiple causes and this effect has to be taken into account in the choice of the ”best” subset. The proposed procedure, based on shrinkage techniques, has been evaluated by means of empirical analysis on default risk predictions.

Variable selection in competing risks model

AMENDOLA, Alessandra;RESTAINO, MARIALUISA
2012-01-01

Abstract

Our aim is to investigate the performance of different variable selection methods, focusing on a statistical procedure suitable for the competing risks model. In this setting, same variables might have different degrees of influence on the risks due to multiple causes and this effect has to be taken into account in the choice of the ”best” subset. The proposed procedure, based on shrinkage techniques, has been evaluated by means of empirical analysis on default risk predictions.
2012
9788861298828
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/3137286
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact