This chapter reviews graphical modeling techniques for estimating large covariance matrices and their inverse. The chapter provides a selective survey of different models and estimators proposed by the graphical modeling literature and offers some practical examples where these methods could be applied in the area of health economics.

Large network inference: new insights in health economics / Moscone, Francesco; Vinciotti, Veronica; Tosetti, Elisa. - 294:(2018), pp. 359-378. [10.1108/S0573-855520180000294019]

Large network inference: new insights in health economics

Vinciotti, Veronica;
2018-01-01

Abstract

This chapter reviews graphical modeling techniques for estimating large covariance matrices and their inverse. The chapter provides a selective survey of different models and estimators proposed by the graphical modeling literature and offers some practical examples where these methods could be applied in the area of health economics.
2018
Health Econometrics
Howard House
Emerald Group Publishing Ltd.
978-1-78714-542-9
978-1-78714-541-2
Moscone, Francesco; Vinciotti, Veronica; Tosetti, Elisa
Large network inference: new insights in health economics / Moscone, Francesco; Vinciotti, Veronica; Tosetti, Elisa. - 294:(2018), pp. 359-378. [10.1108/S0573-855520180000294019]
File in questo prodotto:
File Dimensione Formato  
Moscone-draft2017.pdf

accesso aperto

Tipologia: Pre-print non referato (Non-refereed preprint)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 244.2 kB
Formato Adobe PDF
244.2 kB Adobe PDF Visualizza/Apri
CH015_accepted.pdf

Solo gestori archivio

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 238.72 kB
Formato Adobe PDF
238.72 kB Adobe PDF   Visualizza/Apri

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/11572/283002
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact