Results 21 to 30 of about 3,221,773 (299)
Reconstruction of Satellite Time Series With a Dynamic Smoother
Time series reconstruction methods are widely used to generate smooth and gap-free time series using imagery acquired at coarse spatial resolution and high frequency return intervals. However, as interest has grown in leveraging the nearly 40-a record of
Jordan Graesser +2 more
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Dynamic clustering of time series with Echo State Networks [PDF]
In this paper we introduce a novel methodology for unsupervised analysis of time series, based upon the iterative implementation of a clustering algorithm embedded into the evolution of a recurrent Echo State Network.
A Saxena +10 more
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Building Parsimonious Dynamic System for Time Series [PDF]
In this paper the radial basis function method is used for the generation of models of time series. It has been arrived at a model for nonlinear time series. It has also been found that the error is restricted between zero and one.
doaj +1 more source
Dynamic Multiscale Information Spillover among Crude Oil Time Series
This study investigated information spillovers across crude oil time series at different time scales, using a network combined with a wavelet transform. It can detect the oil price, which plays an important role in the dynamic process of spillovers, and ...
Sufang An
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We discuss Bayesian analysis of multivariate time series with dynamic factor models that exploit time-adaptive sparsity in model parametrizations via the latent threshold approach.
Nakajima, Jouchi, West, Mike
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Fractional dynamics in Japanese financial time series [PDF]
Abstract Using the spectral regression and Gaussian semiparametric methods of estimating the long-memory parameter, we test for fractional dynamic behavior in a number of important Japanese financial time series: spot exchange rates, forward exchange rates, stock prices, currency forward premia, Euroyen deposit rates, and the Euroyen term premium ...
John Barkoulas, Christopher F. Baum
openaire +1 more source
Implementation of bagging in time series forecasting
Objectives. The purpose of the article is to build different models of bagging, to compare the accuracy of their forecasts for the test period against standard models, and to draw conclusions about the possibility of further use of the bagging technique ...
Ia. V. Gramovich +2 more
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Analysis of approaches to identification of trend in the structure of the time series
Objectives. The study set out to compare the forecasting quality of time series models that describe the trend in different ways and to form a conclusion about the applicability of each approach in describing the trend depending on the properties of the ...
U. S. Mokhnatkina +2 more
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Pharmacokinetic Analysis of Gd-DTPA Enhancement in dynamic three-dimensional MRI of breast lesions [PDF]
The purpose of this study was to demonstrate that dynamic MRI covering both breasts can provide sensitivity for tumor detection as well as specificity and sensitivity for differentiation of tumor malignancy.
de Vos, Rob A.I. +10 more
core +4 more sources
Neural network analysis in time series forecasting
Objectives. To build neural network models of time series (LSTM, GRU, RNN) and compare the results of forecasting with their mutual help and the results of standard models (ARIMA, ETS), in order to ascertain in which cases a certain group of models ...
B. Pashshoev, D. A. Petrusevich
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