@InProceedings{CarliDuarMota:2010:ImFoCa,
author = "Carli, Henrique and Duarte, Luiz Guilherme and Mota, Luis
Ant{\^o}nio C. P",
title = "Improving the forecasting capabilities in time series analysis",
booktitle = "Proceedings...",
year = "2010",
editor = "Macau, Elbert Einstein Nehrer and Turci, Luiz Felipe Ramos and
Martins Filho, Luiz Siqueira",
organization = "Dynamics Days South America 2010. - International conference on
chaos and nonlinear dynamics.",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "Applications of nonlinear sciences, chaotic dynamics, time series
analysis.",
abstract = "For any observed system, physical or otherwise, one generally
wishes to make predictions on its future evolution. Sometimes,
very little is known about the system. If a time series is the
only source of information on the system, prediction of the future
values of the series requires a modelling of the system's (perhaps
nonlinear) dynamical law. In particular, one is interested on the
forecasting capabilities of the global approach to time series
analysis. This can be a very complex and computationaly expensive
procedure. So, there is a clear demand for procedures that can,
without increasing the degree of the global mapping, enhance the
accuracy of such mappings.",
conference-location = "S{\~a}o Jos{\'e} dos Campos",
conference-year = "July 26-30, 2010",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP7W/386JD75",
url = "http://urlib.net/ibi/8JMKD3MGP7W/386JD75",
targetfile = "69925.pdf_m=69925\&fi=0\&f=69925.pdf",
urlaccessdate = "01 maio 2024"
}