التكامل الاقتصادي
Volume 10, Numéro 1, Pages 325-344
2022-03-31
Authors : Atmane Medini .
In iterative statistics models the estimation of parameters are affected by the probabilistic event, while in Bayesian it's inference conditions depends on the theory of conditional probability and the stochastic conditions ,that explain the phenomenon according to the theory of random cases and Markov chains. Where he aim of our study is to recognize the difference the difference between iterative and Bayesian analysis of the inflation depended on price indicators in Algeria, which revealed the link between inflation and the food consumption index as a single indicator using iterative inference, while it was associated with a more overlapping relationship using Bayesian inference.
estimation ; iterative ; Bayesian ; Markov chains ; inflation
بوسالم أحلام
.
عابد يوسف
.
ص 117-132.
Yahia Zeghoudi
.
pages 74-88.
Amri H.
.
Zabbat M.
.
Draidi M.
.
pages 3-6.
Said Houari Amel
.
pages 257-268.
Hamimes Ahmed
.
Benamirouche Rachid
.
pages 150-168.