CV Lattes
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Universidade de São Paulo (USP). Escola de Artes, Ciências e Humanidades (EACH) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Graduate (1992) in Computer Science from Federal University of Mato Grosso do Sul, master's in Applied Mathematics (1996) and doctorate in Bioinformatics (2007) from University of Sao Paulo. Assistant Professor of University of Sao Paulo (Information Systems and Complex Systems Modelling). Areas of research and interest: Machine learning; Quantitative microbiological risk assessment; Biostatistics; Computational statistics; Sampling methods; Complex networks. (Source: Lattes Curriculum)
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Compositional data consist of vectors which components are proportions or percentages of a whole, and arise very often in several areas. Their sample space is the Simplex, with quite distinct features in comparison with Euclidean Space. So, regression methods designed to unconstrained data may frequently provide inadequate inferencies when applied to compositional data. One approach for r…
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