Title of the PhD Thesis: Bayesian Nonparametric Analysis of Spatial and Spatio-Temporal Data: Modelling and Computation
Advisor: prof. Alessandra Guglielmi (Politecnico di Milano)
Area of Mathematics: Bayesian Statistics
PhD Committee Members: prof. Alessandra Menafoglio (Politecnico di Milano), prof. Bernardo Nipoti (Università degli Studi di Milano-Bicocca), prof. Massimo Ventrucci (Alma Mater Studiorum - Università di Bologna)
In his thesis, Matteo Gianella developed Bayesian nonparametric methodologies and computational strategies for the analysis of spatial and spatio-temporal data. From the methodological point of view, he introduced flexible Bayesian nonparametric models addressing different applied problems, such as boundary detection or spatial and spatio-temporal clustering, On the computational front, novel Markov Chain Monte Carlo algorithms tailored for large spatial and spatio-temporal datasets were presented.