New Methodologies in Deformation of Temporal Spaces

• Grant number: 19/05917-6
• Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
• Start date: June 01, 2019
• End date: February 28, 2023
• Field of knowledge: Physical Sciences and Mathematics - Probability and Statistics - Applied Probability and Statistics
• Principal Investigator: Pedro Alberto Morettin
• Grantee: Yangyang Chen
• Host Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 18/04654-9 - Time Series, Wavelets and High Dimensional Data, AP.TEM

Abstract

The plan consists in developing two methodologies for the problem of deformation in spacial temporal time series. One based in a model involving the spatial correlation function, using expansions in bases of functions, and the other, expanding directly the mapping frm the space to a proper set.

Scientific publications

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

CHEN, YANGYANG; MORETTIN, PEDRO A.; CHIANN, CHANG. Time-varying spatio-temporal models by wavelets. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, v. N/A, p. 27-pg., 2025-08-20. (19/05917-6, 18/04654-9)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

CHEN, Yangyang. Spatio-temporal models by wavelets. 2023. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME/SBI) São Paulo.