CV Lattes
ORCID
Abstract
Wavelet statistical analysis of functional and high-dimensional data is interesting, among other reasons, because of its: parsimony, asymptotic optimality, representation for stochastic processes, and low computational cost. This project aims learning the fundamentals of wavelet mathematical analysis and the state-of-the-art on applied wavelet data analysis.