Decision making with hybrid influence diagrams using mixtures of truncated exponentials

DOI10.1016/j.ejor.2007.01.036zbMath1138.91372arXiv1207.4177OpenAlexW2144422297MaRDI QIDQ2462122

Prakash P. Shenoy, Barry R. Cobb

Publication date: 23 November 2007

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1207.4177

zbMATH Keywords

decision analysisinfluence diagramsapplied probabilityMTE potentials

Mathematics Subject Classification ID

Decision theory (91B06)

Related Items (7)

Decision-network polynomials and the sensitivity of decision-support models ⋮ An improved method for solving hybrid influence diagrams ⋮ Decision analysis networks ⋮ Probabilistic decision graphs for optimization under uncertainty ⋮ Probabilistic decision graphs for optimization under uncertainty ⋮ A Framework for Solving Hybrid Influence Diagrams Containing Deterministic Conditional Distributions ⋮ Inference in Hybrid Bayesian Networks with Deterministic Variables

Cites Work

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• Solving linear-quadratic conditional Gaussian influence diagrams
• Inference in hybrid Bayesian networks with mixtures of truncated exponentials
• Representing and Solving Decision Problems with Limited Information
• Multistage Monte Carlo Method for Solving Influence Diagrams Using Local Computation
• Decision Analysis by Augmented Probability Simulation
• Valuation-Based Systems for Bayesian Decision Analysis
• Symbolic and Quantitative Approaches to Reasoning with Uncertainty
• Symbolic and Quantitative Approaches to Reasoning with Uncertainty

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