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A Hybrid Approach to Identify and Model Deterministic and Stochastic Components present in Time Series

Grant number: 09/18293-9
Support Opportunities:Scholarships in Brazil - Doctorate
Start date: July 01, 2010
End date: October 31, 2013
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal Investigator:Rodrigo Fernandes de Mello
Grantee:Ricardo Araújo Rios
Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
News published in Agência FAPESP Newsletter about the scholarship:
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Scientific publications (4)
(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)
RIOS, RICARDO ARAUJO; SMALL, MICHAEL; DE MELLO, RODRIGO FERNANDES. Testing for Linear and Nonlinear Gaussian Processes in Nonstationary Time Series. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, v. 25, n. 1, . (11/02655-9, 09/18293-9)
RIOS, RICARDO ARAUJO; DE MELLO, RODRIGO FERNANDES. Applying Empirical Mode Decomposition and mutual information to separate stochastic and deterministic influences embedded in signals. Signal Processing, v. 118, p. 159-176, . (14/13323-5, 09/18293-9)
RIOS, RICARDO ARAUJO; DE MELLO, RODRIGO FERNANDES. Improving time series modeling by decomposing and analyzing stochastic and deterministic influences. Signal Processing, v. 93, n. 11, p. 3001-3013, . (11/02655-9, 09/18293-9)
RIOS, RICARDO ARAUJO; PARROTT, LAEL; LANGE, HOLGER; DE MELLO, RODRIGO FERNANDES. Estimating determinism rates to detect patterns in geospatial datasets. REMOTE SENSING OF ENVIRONMENT, v. 156, p. 11-20, . (11/02655-9, 09/18293-9)
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
RIOS, Ricardo Araújo. Improving time series modeling by decomposing and analysing stochastic and deterministic influences. 2013. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.