Hierarchical Bayesian approaches for robust inference in ARX models

Abstract

ARX models in which the innovations are described by as Student’s t distributed instead of the typical Gaussian noise has certain advantages. In this paper, we consider such a model in a Bayesian setting and develop numerical procedures based on Markov Chain Monte Carlo methods to perform inference. This model includes automatic order determination by two… (More)

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