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Stochastic models with copulas. Clustering techniques for complex dependent data. Statistical methods for high-dimensional spatial, time series and panel data. Statistical applications in environmental science, food science, energy, medicine and biology, finance, accounting, tourism, and cultural economics. Imputation techniques for multivariate missing data. Linear and non linear stochastic processes: definition and characterization. |