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

Abstract

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)

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.