Acyclic directed graphs representing independence models

DOI10.1016/j.ijar.2010.09.005zbMath1209.68354OpenAlexW2014438836MaRDI QIDQ622277

Giuseppe Busanello, Marco Baioletti, Barbara Vantaggi

Publication date: 31 January 2011

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2010.09.005

zbMATH Keywords

perfect mapindependence modelsgraphoid propertiesinferential rulesacyclic directed graphsprobabilistic independence models

Mathematics Subject Classification ID

Measures of association (correlation, canonical correlation, etc.) (62H20) Graph theory (including graph drawing) in computer science (68R10) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (4)

DAG representation of asymmetric independence models arising in coherent conditional possibility theory ⋮ Representing independence models with elementary triplets ⋮ Identification of structures and causation in flow graphs ⋮ Finding P–Maps and I–Maps to Represent Conditional Independencies

Uses Software

• TETRAD

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Compositional models and conditional independence in evidence theory
• Graphoid properties of epistemic irrelevance and independence
• Conditional independence structure and its closure: inferential rules and algorithms
• Logical and algorithmic properties of stable conditional independence
• Bayesian network learning algorithms using structural restrictions
• Racing algorithms for conditional independence inference
• Independence concepts in possibility theory. I
• Conditional independence in valuation-based systems
• Semigraphoids and structures of probabilistic conditional independence
• Stochastic independence in a coherent setting
• Strong conditional independence for credal sets
• The L-separation criterion for description of cs-independence models
• On chain graph models for description of conditional independence structures
• Conditional independence in a coherent finite setting
• Possibility theory: conditional independence
• Operations for inference in continuous Bayesian networks with linear deterministic variables
• Learning Bayesian network parameters under order constraints
• CONDITIONAL INDEPENDENCE RELATIONS IN POSSIBILITY THEORY
• Acyclic Directed Graphs to Represent Conditional Independence Models
• Probabilistic Networks and Expert Systems
• GRAPHOID PROPERTIES OF QUALITATIVE POSSIBILISTIC INDEPENDENCE RELATIONS
• CONDITIONAL INDEPENDENCE STRUCTURES AND GRAPHICAL MODELS

This page was built for publication: Acyclic directed graphs representing independence models