Results 21 to 30 of about 757,673 (309)
Dynamic clustering of time series data
CoRR, 2020 27 pages, 21 ...
Victhor S. Sartório +1 more
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GNSSseg, a Statistical Method for the Segmentation of Daily GNSS IWV Time Series
Remote Sensing, 2022 Homogenization is an important and crucial step to improve the usage of observational data for climate analysis. This work is motivated by the analysis of long series of GNSS Integrated Water Vapour (IWV) data, which have not yet been used in this ...
Annarosa Quarello +2 more
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Learning Manifolds from Dynamic Process Data
Algorithms, 2020 Scientific data, generated by computational models or from experiments, are typically results of nonlinear interactions among several latent processes. Such datasets are typically high-dimensional and exhibit strong temporal correlations.
Frank Schoeneman +4 more
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Time Series Modelling With Semiparametric Factor Dynamics [PDF]
Journal of the American Statistical Association, 2007 High-dimensional regression problems which reveal dynamic behavior are typically analyzed by time propagation of a few number of factors. The inference on the whole system is then based on the low-dimensional time series analysis. Such highdimensional problems occur frequently in many different fields of science. In this paper we address the problem of
Park, Byeong U. +3 more
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Dynamic and sequential update for time series forecasting
, 2020 Two different sciences, physics and statistics, have worked, from the foundations of each, on the explanation and modelling of stochastic processes characterized by the succession of random variables whose realizations at each instant of time give rise ...
GALLARDO PÉREZ, HENRY DE JESÚS +2 more
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Dynamic Multiscale Information Spillover among Crude Oil Time Series
Entropy, 2022 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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Word Series for Dynamical Systems and Their Numerical Integrators [PDF]
Foundations of Computational Mathematics, 2015 We study word series and extended word series, classes of formal series for the analysis of some dynamical systems and their discretizations. These series are similar to but more compact than B-series. They may be composed among themselves by means of a simple rule.
Ander Murua, Jesús María Sanz-Serna
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Building Parsimonious Dynamic System for Time Series [PDF]
المجلة العراقية للعلوم الاحصائية, 2005 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.
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Time Series and the Dynamics of Demand Pacing [PDF]
Methods of Information in Medicine, 2000 Abstract:Motivated by a common practice in cardiology, we analyze the dynamics of a demand paced system where one seeks to create a stable periodic response. By using techniques originally developed for controlling chaotic systems, one can enhance the information contained in time series regarding hidden, unstable periodic orbits.
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Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
, 2022 Multivariate time series forecasting has long received significant attention in real-world applications, such as energy consumption and traffic prediction.
Chen, Siheng +11 more
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