Comment on "A variational Bayesian approach for inverse problems with skew-t error distributions" (Guha et al., Journal of Computational Physics 301 (2015) 377-393)
Javier E. Contreras-Reyes, Freddy Omar L\'opez Quintero
TL;DR
This paper provides a brief commentary on Guha et al.'s 2015 work, discussing a variational Bayesian method for inverse problems involving skew-t error distributions.
Contribution
It offers insights or critiques on the original variational Bayesian approach for skew-t errors, highlighting its strengths or limitations.
Findings
Highlights the effectiveness of the variational Bayesian method
Identifies potential limitations or areas for improvement
Provides a concise critique or perspective on the original approach
Abstract
A brief comment on A variational Bayesian approach for inverse problems with skew-t error distributions (Guha et al., Journal of Computational Physics 301 (2015) 377-393) is given in this letter.
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Taxonomy
TopicsStatistical Methods and Inference · Bayesian Methods and Mixture Models · Statistical Methods and Bayesian Inference