Implicit parameter estimation for conditional Gaussian Bayesian networks

Aida Jarraya, Philippe Leray, Afif Masmoudi
2013 International Journal of Computational Intelligence Systems  
The Bayesian estimation of the conditional Gaussian parameter needs to define several a priori parameters. The proposed approach is free from this definition of priors. We use the Implicit estimation method for learning from observations without a prior knowledge. We illustrate the interest of such an estimation method by giving first the Bayesian Expectation A Posteriori estimator for conditional Gaussian parameters. Then, we describe the Implicit estimators for the same parameters. Moreover,
more » ... ameters. Moreover, an experimental study is proposed in order to compare both approaches.
doi:10.1080/18756891.2014.853926 fatcat:mhyjteh2z5az7byhbqpph2tm2a