A Note on the Identifiability of General Bayesian Gaussian Models
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
The main aim of this paper is to investigate the identifiability of Bayesian Gaussian regression model. The model is extensively implemented in the various Bayesian modeling concepts such as model fitting and model selection approaches. In accordance with the outcomes, the Bayesian Gaussian model is identifiable when the model's design matrix is full rank.
Keywords:
Language:
English
Published:
Journal of Statistical Research of Iran, Volume:16 Issue: 2, Summer and Autumn 2019
Pages:
559 to 569
https://www.magiran.com/p2741191
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