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Bayesian and Causality Networks
- Identification of causal structures;
- Networks with large number of variables;
- Bayesian Networks’ computational aspects;
- Model transportability.
Dynamic Systems’ Predictability and Resilience
- Fault analysis in network systems;
- Prevision and predictability of dynamic systems;
- Resilience and Reliability Analysis;
- Survival Analysis.
Statistical Signal Processing
- Spectral analysis and sub-space methods;
- Parametric, non-parametric and semi-parametric models;
- Information theory;
- Stochastic volatility.