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.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