Multivariate data modelling with Copulas in Python
📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python
Python package for canonical vine copula trees with mixed continuous and discrete marginals
Matlab toolbox for canonical vine copula trees with mixed continuous and discrete marginals
A Python-based implementation of Bayesian network structure learning using mutual information and Minimum Description Length (MDL) scoring. This project constructs probabilistic graphical models from real-world data and evaluates their performance in representing dependencies among variables.
Communications infrastructure dependency intelligence. Model node failures — what breaks, what reroutes, what delays restoration.
ISD-DSA - Instructional Systems - Decision Support Architecture - A repository of integrative decision-architecture modeling, governance/risk constraints, validation frameworks, and interactive prototypes for technical instructional diagnostics and system design applications.
Actuarial dependency modeling — Clayton, Gumbel, Frank, Gaussian Copulas | Canadian P&C | OSFI MCT | IBC Calibration | PhD Research
Raisonnement qui opère après la collecte. Non pas ce qu'une cible expose, mais ce qu'elle ne peut pas modifier sans se dégrader. Moteur d'inférence probabiliste sur les dépendances cognitives. Belief Propagation, Noisy-OR/AND.
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