My main interests include Bayesian data analysis, Stochastic modelling in Geophysics, and computational methods for stochastic processes. My research activities are mainly centered in the use of Bayesian methods applied to Inference problems, inverse problem in Geophysics, Extreme Value analyses, multi-hazard and multi-risk assessment.
Research interests:
Bayesian inference is the process of fitting a probability model to a data set and summarizing the results by a probability distribution on the parameters of the model and on unobserved quantities such as predictions for new observations (e.g. Gelman et al. 2004). I am interested in the implementation of Bayesian solutions for the determination of model parameter values in geophysical problems.
Extreme Value Theory is an approach used for the estimation of extreme values; the distinguishing feature of an extreme value analysis is the objective to quantify the stochastic behaviour of a process at unusually large (or small) levels (e.g., Coles 2001). In fact, it aims at deriving a probability distribution of events from the tail of a probability distribution, that is, at the far end of the upper or lower ranges of the probability distributions. It has a wide spectrum of applicability in the assessment of natural hazards.
We use stochastic models as mathematical structures to describe the response of a system and use them as a tool in the forecasting of event occurrences. On the other hand, we perform sensitivity analyses by introducing random effects to the input parameters of physical models to assess the output variability and estimate uncertainties.
The transition from single- to multi-risk assessment implies a shift from a hazard-centred perspective that characterises the single-risk assessment, to a territorial-centred one. Our research in this field is oriented towards (1) defining harmonisation mechanisms in order to make multiple risk comparable, and (2) exploring and assessing possibile interactions.
Journal papers (Peer-reviewed):
Book chapters (peer-reviewed):
Conference proceedings (peer-reviewed):
Science divulgation:
Abstracts, Short communications:
credits: this website was developed using an open-source template developed by Mihai Balea