Comments on: "Hybrid Semiparametric Bayesian Networks"
Marco Scutari
TL;DR
This discussion paper provides insights and critiques on the hybrid semiparametric Bayesian networks proposed by Atienza, Larranaga, and Bielza, highlighting potential improvements and implications for future research.
Contribution
It offers an invited expert commentary that analyzes and contextualizes the original hybrid semiparametric Bayesian networks work.
Findings
Identifies strengths and limitations of the proposed model
Suggests directions for future research in Bayesian networks
Provides critical insights into hybrid semiparametric methods
Abstract
Invited discussion on the paper "Hybrid Semiparametric Bayesian Networks" by David Atienza, Pedro Larranaga and Concha Bielza (TEST, 2022).
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBayesian Methods and Mixture Models · Statistical Methods and Inference · Bayesian Modeling and Causal Inference