Abstract
Starting from the formal description of stochastic processes, these lectures will present several methods to analyse time-series and random fields emerging in natural sciences, including the estimation of N-point correlation functions, spectral analysis of regularly and irregularly sampled signals, the solution of inverse problems by deconvolution and filtering techniques (pseudo-inverse, Wiener, Richardson-Lucy, regularization), and multivariate analysis (PCA, FPCA).
Schedule of the minicourse
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