Characterization of Dynamic Bayesian Network

2012/04/07 by Nabil Ghanmy, ghanmy, Nabil, Mohamed Ali Mahjoub +3
Computer Science · #Advanced Database Systems and Queries #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Time Series Analysis and Forecasting

paper · pdf · doi:10.48550/arxiv.1204.1637

openalex publication_date 2012/04/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In this report, we will be interested at Dynamic Bayesian Network (DBNs) as a model that tries to incorporate temporal dimension with uncertainty. We start with basics of DBN where we especially focus in Inference and Learning concepts and algorithms. Then we will present different levels and methods of creating DBNs as well as approaches of incorporating temporal dimension in static Bayesian network.

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