Time series, wavelets, high dimensional data and applications
Statistical analysis of temporal graph wavelets statistical analysis of temporal g...
Grant number: | 08/51097-6 |
Support Opportunities: | Research Projects - Thematic Grants |
Start date: | July 01, 2008 |
End date: | June 30, 2012 |
Field of knowledge: | Physical Sciences and Mathematics - Probability and Statistics - Applied Probability and Statistics |
Principal Investigator: | Pedro Alberto Morettin |
Grantee: | Pedro Alberto Morettin |
Host Institution: | Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
Pesquisadores principais: | Nikolai Valtchev Kolev |
Associated research grant(s): | 10/51940-5 - Roger Bian Nelsen | Lewis Clark College - United States, AV.EXT |
Associated scholarship(s): | 10/19375-6 - Time Series Classification,
BP.PD 09/11104-6 - Construction of Multivariate Distributions With Asymmetric Dependence: Hierarchical Arquimedean Copula, Pair-Copula and Students t Copula., BP.MS 09/09588-5 - Estimation of FAR models by wavelets, BP.DR 09/05884-9 - Lévy Processes in Finance: The Calibration Problem and the concept of skewness in the market., BP.PD |
Abstract
In this project, we will investigate methodologies of time series, measuresof dependence, copulas and new alternative functions of dependence, with po-tential applications in several fields, as Actuarial Sciences (Insurance, PensionFunds, etc), Finance, Medicine, Biology and Physical Sciences.These methodologies aim to solve some important theoretical and appliedproblems related to the following strongly connected research topics:1. Evaluation of risks associated with events as earthquakes, car accidents,forest fires, increase in temperature and sea level and also with measures ofrisks in finance.2. Occurrences of extreme values in time series and characterization of ex-treme dependencies.3. Estimation of volatilities of financial assets, including high frequency data.4. Study of random sums with various forms of dependence, with applicationsin discrete time series and insurance.5. Extension of the concept of copula to the case of time series and applicationto the study of the dependence phenomenon.6. Study of measures of local dependence, for random variables and timeseries, and tests of independence.7. Study of processes with long dependence, with applications in physicalsciences and economics.8. Applications to the study of sequences of DNA, microarrays, functionalmagnetic resonance imaging, sea level and waves, climatology. (AU)
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