CV Lattes
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Universidade Federal de São Carlos (UFSCAR). Centro de Ciências Exatas e de Tecnologia (CCET) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Bachelor's at Statistics from Federal University of Ceará (2006), master's at Probability and Statistics from University of São Paulo (2009) and doctorate at Statistics from University of São Paulo (2013). Has experience in Probability and Statistics, focusing on Nonparametric Inference. (Source: Lattes Curriculum)
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One of the main interests in Statistics is the satisfactory modeling of data sets in several different situations and contexts. Due to the computational advances in last years, the use of non-parametric approaches have gained more and more attention of researchers, specially because of the ability of these methods in proposing and/or validating other existing approaches. Besides, it is im…
This project involves the estimation of conditional densities using wavelet bases. The proposed approach, which is a wavelet-based version of the FlexCode method proposed by Izbicki and Lee [Converting high-dimensional regression to high-dimensional conditional density estimation. Electronic Journal of Statistics, 11(2): 2800--2831 (2017)], may help to solve the problem of estimating cond…
The technological advances have helped statistics to develop studies in many fields. We can highlight the functional data analysis, in which each data point is related to continuous process. From mathematical tools, e.g., kernels, splines, wavelets and so on, inferences can be performed by functional models. In this project we are interested in studying functional regression models, due t…
The objective of this Thesis' Project is to perform a detailed study of FAR models based on wavelets, where, initially, the asymptotic properties of these estimators will be studied and then, the vectorial extension of these models will be studied as well. Theoretical results will be computationally implemented, compared to other procedures already used in the literature through a simulat…
The advances of technology and computing have helped in solution of many statistical problems. In particular, the functional data analysis (FDA) as relatively modern branch of statistics, have benefited from such advances. In the scope of FDA, the functional regression models have gained special attention by researchers, because of their wide applicability in real-life problems. In this p…
| 1 / 1 | Completed research grants |
| 3 / 3 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 5 / 5 | All research grants and scholarships |
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