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
graduate at Estatistica from Universidade Federal de São Carlos (1985), master's at Probability and Statistics from Universidade Estadual de Campinas (1988) and ph.d. at Estatistica from University of Wisconsin-Madison (1994). Has experience in Probability and Statistics, focusing on Statistics, acting on the following subjects: b-splines, nonparametric regression, smoothing splines, nonparametric density estimation and simulation. (Source: Lattes Curriculum)
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This project is a natural follow-up to an ongoing project 18/04654-9, which is the most recent of a series of thematic projects from this research group endowed by FAPESP in the last twenty years. The proposed statistical methodologies will have application in Medicine, Finance, Biology, Physics, Neurosciences, Engineering, among others areas. They solve theoretical and empirical question…
The focus of this proposal is the transfer of mathematical knowledge to other areas of science, technology and industry, through a structured research center specially tailored for this purpose. All mathematical knowledge is ultimately applicable, if not directly, through other areas of knowledge. In some areas the application of mathematics is almost immediate. However, the practical imp…
This research project deals with two central aspects in statistical modeling:inference and decision making. We often find ourselves, in nowadays, with high dimensional problems, both in the available data and in the number ofcovariates. Let p> n, where p is the number of covariates (features) and n, the numberof observations.These issues are increasingly present in useful statistical meth…
This project is a natural follow-up to the thematic project 13/00506-1 entitled Séries Temporais, Ondaletas e Análise de Dados Funcionais (Time Series, Wavelets and Functional data Analysis), from 01/07/2013 to 30/06/2018. The methodologies have potential and effective application to Medicine, Biology, Physics, Chemistry, Finance, Engineering, etc. These methods should solve theoretical a…
In this project we will investigate methodologies of time series, wavewlets and functional data analysis, with potential applications in several fields, as medicine, biology, physical sciences, chemistry, actuarial sciences, finance, etc. These methodologies aim to solve some important theoretical and applied problems related to the following strongly connected research topics: 1. Evaluat…
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Time series forecasting has attained high dimensions of significance in management, planning, and decision making for government institutions, industries, and businesses. However, the forecasting implementations are usually limited due to various factors such as data complexity, environmental conditions, economic variables, risk situations, among others, which originates from highly dynam…
Let X be a d dimensional vector of covariates and Y be the response variable. Underthe nonparametric model Y = m(X) + s(X), the goal is to test if a specic covariate,say Xj ; j=1,...d is signicant in the model. The methodology for completelynonparametric tests has been deeply explored. Zambom and Akritas (2012) proposeda test based on methods of one-way ANOVA when the number of factor lev…
In recent years, with the advent of new technologies, functional dada has beenobserved and collected more often in different areas of science and technology. Although data are gathered as finite vector and it may contain measurement errors, its functional nature has to be taken into account. Furthermore, in Functional Data Analysis (FDA) there are situations where one needs to access info…
| 2 / 2 | Ongoing grants |
| 8 / 6 | Completed research grants |
| 5 / 2 | Completed scholarships in Brazil |
| 2 / 1 | Completed scholarships abroad |
| 17 / 11 | All research grants and scholarships |
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