Library for graphical models of decision making, based on pgmpy and networkx
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Updated
Sep 19, 2023 - Jupyter Notebook
Library for graphical models of decision making, based on pgmpy and networkx
DecisionProgramming.jl is a Julia package for solving multi-stage decision problems under uncertainty, modeled using influence diagrams. Internally, it relies on mathematical optimization. Decision models can be embedded within other optimization models.
In this repository, I am adding all the materials for the course Decision Making. It includes Projects using an AHP model with ODM( open Decision Maker). Solutions for some problems have also been added in the Final Exam directory.
decision analysis / bayesian networks and influence diagrams
Code for A Weighted Mini-Bucket Bound for Solving Influence Diagrams (UAI 2019) and Join-Graph Decomposition Bounds for Influence Diagrams (UAI 2018).
Decision model for colorrectal cancer screening. Based on bayesian networks and influence diagrams
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