A methodology for developing Bayesian networks: an application to information technology (IT) implementation
From MaRDI portal
Publication:858433
DOI10.1016/j.ejor.2006.01.016zbMath1163.90553OpenAlexW1968354614WikidataQ125984264 ScholiaQ125984264MaRDI QIDQ858433
Peter J. Duchessi, Eitel J. M. Lauría
Publication date: 9 January 2007
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2006.01.016
Management decision making, including multiple objectives (90B50) Stochastic network models in operations research (90B15)
Related Items
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Optimization by Simulated Annealing
- Stochastic complexity and modeling
- Causation, prediction, and search
- A Bayesian method for the induction of probabilistic networks from data
- Estimating the dimension of a model
- Improving Markov chain Monte Carlo model search for data mining
- Causal modeling alternatives in operations research: overview and application.
- Learning Bayesian networks: The combination of knowledge and statistical data
- Differential-geometrical methods in statistics
- Building large-scale Bayesian networks
- Probabilistic Networks and Expert Systems
- Fisher information and stochastic complexity
- Learning the Structure of a Bayesian Network: An Application of Information Geometry and the Minimum Description Length Principle
- Equation of State Calculations by Fast Computing Machines
- Monte Carlo sampling methods using Markov chains and their applications
This page was built for publication: A methodology for developing Bayesian networks: an application to information technology (IT) implementation