CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Instituto de Matemática, Estatística e Computação Científica (IMECC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Statistician from University of Campinas (2009), M.Sc. in Statistics from University of Campinas (2011) and Ph.D. in Statistics from University of Wisconsin - Madison (2016). Currently, I am Assistant Professor at University of Campinas. I have experience in Probability and Statistics, focusing on nonparametric statistcs, geostatistcs, semiparametric regression methods and inference for spatial point processes. (Source: Lattes Curriculum)
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Semiparametric models are frequently employed in spatial statistics, but the high dimensionality of data coming from scientific experiments is causing computational scalability problems to existing semiparametric methods. This project seeks to develop scalability solutions to three semiparametric methods -- namely, data fusion of spatio-temporal processes, esimation of nonstationary covar…
The goal of this project is to develop a statistical spatio-temporal dependence model for dynamic risk mapping of forest fires in the southwestern Pará; as well as connecting the risk to proximity to highways, farmland and national parks. The model will be compared to those available in the literature.
Poisson processes are one of the most popular point process models for count data. Many natural phenomena can be described with this process, and estimation of parameters is usually easy. The basic assumption for a spatial Poisson process is independence between disjoint sets. However, data from many applications show interaction between points, either by clustering or repulsion. In this …
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| 2 / 2 | Completed scholarships in Brazil |
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