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Studying the Performance of Cognitive Models in Time Series Forecasting
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2020)
A method to align segments of time series based on envelope features as anchor pointsUn método para alinear series temporales basado en características de la envolvente como punto de anclaje
(Asociación Física Argentina, 2019-10)
In the field of time series analysis, there is not a unique recipe for studying signal similarities. When having the repetition of a pattern, averaging different signals of the same nature could be complicated. Sometimes ...
Intervention analysis of time series of heritage and capital flow of socially responsible investment funds of BrazilAnálisis de intervención de las series temporales patrimonio y flujo neto de dinero de los Fondos de Inversión Socialmente Responsables (FISR) de Brasil
(Pontificia Universidad Católica del Perú, 2011)
Comparative Study of FDA and Time Series Approaches for Seabed Classification from Acoustic Curves
(Springer Heidelberg, 2019-04)
Seabed classification in coastal environments is usually accomplished using multivariate methods applied to acoustic features from corrected or uncorrected echoes. This paper presents a comparative study of alternative ...
Using Time Series Analysis to support the Water Resources Management in the Upper Basin of the Suquía River
(Universidad de Effurun, 2015-03)
A time series analysis is a valuable tool to get information about analyzed data structures and their components, which providesa good basis for successful future predictions. This information is useful to make decisions ...
Selecting control sites for post-fire ecological studies using biological criteria and modis time series data
(Association for Fire Ecology, 2017-02)
Wildland fires play a key role in the functioning and structure of vegetation. The availability of sensors aboard satellites, such as Moderate Resolution Imaging Spectroradiometer (MODIS), makes possible the construction ...
Historical SAM index time series: Linear and nonlinear analysis
(John Wiley & Sons Ltd, 2018-03-06)
A statistical analysis of 100‐year historic Southern Annular Mode (SAM) time series is carried out, for a set of indices calculated by different methods, in view to understanding their value as simple indicators of climate ...
Forecasting Multiple Time Series With One-Sided Dynamic Principal Components
(American Statistical Association, 2019-02)
We define one-sided dynamic principal components (ODPC) for time series as linear combinations of the present and past values of the series that minimize the reconstruction mean squared error. Usually dynamic principal ...