المجلة الدولية للاداء الاقتصادي
Volume 4, Numéro 2, Pages 1-12
2021-11-03
Authors : Talbi Fatiha .
A Non-Homogeneous process is a process with rate parameter (t) such that this rate is a function of time. Bayesians are interested in robustness with respect to changes in prior distributions/sampling models/loss functions. In This work, we focused on replacing a single prior distribution by a class of priors of the parameters of a given Poisson processes, and developing methods of computing the range of the ensuing answers as the prior varied over the class. This approach, called “global robustness”.
Bayesian Robustness ; Nonhomogeneous Poisson processes ; Prior Robustness ; Global Sensitivity ; Local Sensitivity
Mameri Y
.
Debbache N
.
Seraghni N
.
Sehili T
.
pages 83-89.
Hamimes Ahmed
.
Benamirouche Rachid
.
Chellai Fatih
.
pages 1-10.
Pempie Pascal
.
Hamimes Ahmed
.
Benamirouche Rachid
.
pages 76-82.
Menani Nabil
.
Mâamar Bechar
.
pages 59-71.
Chetbani Saida
.
Mouhoubi Aissa
.
pages 583-600.