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Statistical analysis of temporal graph wavelets statistical analysis of temporal graph wavelets

Grant number: 18/06874-6
Support type:Scholarships abroad - Research Internship - Doctorate
Effective date (Start): September 01, 2018
Effective date (End): August 25, 2019
Field of knowledge:Physical Sciences and Mathematics - Probability and Statistics - Statistics
Principal researcher:Aluísio de Souza Pinheiro
Grantee:Rodney Vasconcelos Fonseca
Supervisor abroad: Debashis Mondal
Home Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Research place: Oregon State University (OSU), United States  
Associated to the scholarship:16/24469-6 - Wavelet Funcional Data Analysis: Foundations and Applications, BP.DR


Wavelets methods have been applied on many fields of science. However, many relevant applications involve non-usual domains, as is the case with graph spaces. Moreover, due to improvement of data acquisition and storage, data can be sometimes collected along the time, allowing to evaluate the progress of the analyzed phenomenon as a time series. Therefore, the development of statistical methods concerning the application of wavelets on temporal graphs can shed light on many problems of practical nature identifying significant features. (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
FONSECA, R. V.; MONDAL, D.; ZHANG, L. Wavelet variances for heavy-tailed time series. ENVIRONMETRICS, v. 30, n. 6 SEP 2019. Web of Science Citations: 0.

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