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Seminar | Modelling and prediction with uncertainty quantification in mathematical models

12 Fev 10:00
Delta Classroom


Friday, February 12, 2016, 11h00 

Location: Delta Classroom, Quelhas' Building, ISEG


In this talk, we address the treatment of uncertainty in different types of mathematical models: continuous dynamical systems, discrete mathematical models and stochastic models.  

First, we analyse how uncertainty evolves in a continuous dynamical system modeled by differential equations. Then, we apply Bayesian techniques to processes of calibration in discrete mathematical models. Finally, we quantify parameters' uncertainty in stochastic models.  Case studies will be presented and will be discussed for each modelling approach. Additionally, classical statistical techniques applied in different areas will be shown.