CV Lattes
Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Faculdade de Ciências e Tecnologia (FCT) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Bachelor's in Statistics in university state of São Paulo Júlio de Mesquita Filho (2012). Master in Statistics by the joint master program in Statistics in the federal university of São Carlos and uniiversity of São Paulo. Currently enrolled as a PhD student in the university of Helsinki, Finland. Has experience and interest in Bayesian inference acting on the following subjects: Bayesian dynamic models, nonparametric Bayesian inference via Gaussian process models, stochastic simulation methods with Riemannian metric, reliability analysis and time series. (Source: Lattes Curriculum)
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Gaussian processes jointly with Bayesian methods are applied to the estimation of functions, that’s it, there is no supposition of a unique parametric functional form underlying the data. In this approach of non-parametric inference, the density function or the function of interest can be estimated without the imposition of any restrictive supposition of its form. The data allow determini…
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