Dynamic Bayesian Networks with Conditional Dynamics in Edge Addition and Deletion

Fuente: arXiv
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Auteurs principaux: Chan, Lupe S. H., Chu, Amanda M. Y., So, Mike K. P.
Format: Preprint
Publié: 2024
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author Chan, Lupe S. H.
Chu, Amanda M. Y.
So, Mike K. P.
author_facet Chan, Lupe S. H.
Chu, Amanda M. Y.
So, Mike K. P.
contents This study presents a dynamic Bayesian network framework that facilitates intuitive gradual edge changes. We use two conditional dynamics to model the edge addition and deletion, and edge selection separately. Unlike previous research that uses a mixture network approach, which restricts the number of possible edge changes, or structural priors to induce gradual changes, which can lead to unclear network evolution, our model induces more frequent and intuitive edge change dynamics. We employ Markov chain Monte Carlo (MCMC) sampling to estimate the model structures and parameters and demonstrate the model's effectiveness in a portfolio selection application.
format Preprint
id arxiv_https___arxiv_org_abs_2409_08965
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Dynamic Bayesian Networks with Conditional Dynamics in Edge Addition and Deletion
Chan, Lupe S. H.
Chu, Amanda M. Y.
So, Mike K. P.
Methodology
Applications
Computation
62F15
G.3
This study presents a dynamic Bayesian network framework that facilitates intuitive gradual edge changes. We use two conditional dynamics to model the edge addition and deletion, and edge selection separately. Unlike previous research that uses a mixture network approach, which restricts the number of possible edge changes, or structural priors to induce gradual changes, which can lead to unclear network evolution, our model induces more frequent and intuitive edge change dynamics. We employ Markov chain Monte Carlo (MCMC) sampling to estimate the model structures and parameters and demonstrate the model's effectiveness in a portfolio selection application.
title Dynamic Bayesian Networks with Conditional Dynamics in Edge Addition and Deletion
topic Methodology
Applications
Computation
62F15
G.3
url https://arxiv.org/abs/2409.08965