Wavelets and functional analysis: decomposability and adaptability
Wavelets, quasi U-statistics and functional estimation: decomposability and adapta...
Wavelet Funcional Data Analysis: Foundations and Applications
Grant number: | 13/21273-5 |
Support type: | Scholarships abroad - Research Internship - Post-doctor |
Effective date (Start): | February 15, 2014 |
Effective date (End): | February 14, 2015 |
Field of knowledge: | Physical Sciences and Mathematics - Probability and Statistics - Statistics |
Principal researcher: | Aluísio de Souza Pinheiro |
Grantee: | Michel Helcias Montoril |
Supervisor abroad: | Brani Vidakovic |
Home Institution: | Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil |
Research place: | Georgia Institute of Technology, United States |
Associated to the scholarship: | 13/09035-1 - Regression models in functional data analysis, BP.PD |
Abstract 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 project, we have the interest of exploring the estimation of semi-functional linear models by wavelet methodology and compare the obtained results with published counterpart standard methods. We also plan to explore semi-functional generalized linear models (GLM) in the multiscale domains. (AU) | |
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