- Research Grants
|Support type:||Scholarships in Brazil - Scientific Initiation|
|Effective date (Start):||July 01, 2012|
|Effective date (End):||December 31, 2012|
|Field of knowledge:||Physical Sciences and Mathematics - Probability and Statistics|
|Principal Investigator:||Fernando Antonio Moala|
|Home Institution:||Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil|
Gaussian processes jointly with bayesian methods are applied on the estimation of functions, thats it, there is no supposition of a unique parametric functional form underlying the data. In this approach of non-parametric inference, the density function or the function of interest can be estimated without the imposition of any restrictive supposition of its form. The data allow determine the estimate of the interested function rather than conditioning it to a given parametric class functions. Its also performed some application in time series models.