OBSMD: AN R-PACKAGE FOR OBJECTIVE BAYESIAN MODEL DISCRIMINATION IN FOLLOW-UP DESIGNS

Laura Deldossi, Marta Nai Ruscone

Risultato della ricerca: Contributo in libroContributo a convegno

Abstract

Occasionally screening designs do not lead to unequivocal conclusions regarding which combinations of factors (models) are active. From a Bayesian viewpoint, this means that the posterior distribution on model space will be fairly evenly spread out over a few models. In these circumstances, a follow-up design is needed, the aim being of choosing extra runs in order to solve, or at least alleviate, this ambiguity. This R-package OBsMD implements the objective Bayesian methodology developed in Consonni and Deldossi (2013) for this scope.
Lingua originaleEnglish
Titolo della pubblicazione ospiteProceedings SCo 2013
Pagine1-4
Numero di pagine4
Stato di pubblicazionePubblicato - 2013
EventoSCo 2013 - Milano
Durata: 9 set 201312 set 2013

Convegno

ConvegnoSCo 2013
CittàMilano
Periodo9/9/1312/9/13

Keywords

  • FOLLOW-UP DESIGNS
  • MODEL DISCRIMINATION
  • objective Bayesian

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