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