In this work we address the problem of prediction in a multidimensional setting. Generalizing a result presented in Ueki and Fueda (2007), we propose a method for correcting estimative predictive regions to reduce their coverage error to third order accuracy. The improved prediction regions are easy to calculate using a suitable bootstrap procedure. An example of application is also included, showing the performance of the proposed method.

Improving estimative prediction regions

GIUMMOLE', Federica;
2010-01-01

Abstract

In this work we address the problem of prediction in a multidimensional setting. Generalizing a result presented in Ueki and Fueda (2007), we propose a method for correcting estimative predictive regions to reduce their coverage error to third order accuracy. The improved prediction regions are easy to calculate using a suitable bootstrap procedure. An example of application is also included, showing the performance of the proposed method.
2010
Proceedings of the 25th International Workshop on Statistical Modelling
File in questo prodotto:
File Dimensione Formato  
IWSM2010.pdf

non disponibili

Tipologia: Documento in Post-print
Licenza: Accesso chiuso-personale
Dimensione 324.53 kB
Formato Adobe PDF
324.53 kB Adobe PDF   Visualizza/Apri

I documenti in ARCA 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/10278/26112
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact