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MADLab MADBayes
MADBayes is a Python library about Bayesian Networks.
Introduction
How to Install
Contents
Legend
- empty - Not implemented
- ✔️ - Already implemented
- ❌ - Non-existent
Structural Properties
Name |
Python |
C/C++ |
Independence Map |
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U-Separation |
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D-Separation |
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Markov Blanket |
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Equivalence Classes |
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Topological Ordering |
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Types of Bayesian Networks
Name |
Python |
C/C++ |
Discrete Networks |
✔️ |
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Gaussian Networks |
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CLG Networks |
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Mixed Networks |
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Classifiers
Name |
Python |
C/C++ |
Naive Bayes |
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Tree-Augmented Naive Bayes |
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Exact Inference
Type |
Name |
Python |
C/C++ |
Exact |
Variable Elimination |
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Junction Tree |
✔️ |
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Approximate |
Prior Sampling |
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Rejection Sampling |
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Likelihood Weighting Sampling |
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Monte Carlo Chain Sampling |
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Structural Learning
Type |
Name |
Python |
C/C++ |
Costraint-based |
Inductive Causation |
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Peter & Clark |
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Grow-Shrink |
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Incremental Association |
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Max-Min Parents & Children |
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Hiton-PC |
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Score-based |
Hill-Climbing |
✔️ |
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Greedy Equivalent Search |
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Tabu Search |
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Genetic Algorithms |
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Simulated Annealing |
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Hybrid |
Sparse Candidate Algorithm |
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MMHC |
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Structure Score
Name |
Python |
C/C++ |
Bayesian Information Criterion (BIC) |
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Akaike’s Information Criterion (AIC) |
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Bayesian Dirichlet Equivalent Uniform (BDeu) |
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Bayesian Dirichlet Sparse (BDs) |
✔️ |
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Bayesian Gaussian equivalent (BGe) |
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Missing Data
Name |
Python |
C/C++ |
Expectation-Maximisation |
✔️ |
|
Structural EM |
✔️ |
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Data Augmentation |
|
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Bootstrap Aggregation |
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Causal Models - Effects of Interventions
Name |
Python |
C/C++ |
Interventions |
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Adjustement Formula |
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Backdoor Criterion |
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Front-Door Criterion |
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Causal Infrence in Linear Systems |
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Causal Models - Counterfactuals
Name |
Python |
C/C++ |
Counterfactuals |
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Probabilistic Counterfactuals |
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Counterfactuals in Linear Systems |
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