Results 11 to 20 of about 338,472 (315)
Comparative Analysis of Time-Series Forecasting Models for eLoran Systems: Exploring the Effectiveness of Dynamic Weighting [PDF]
SensorsThis paper presents an advanced time-series forecasting methodology that integrates multiple machine learning models to improve data prediction in enhanced long-range navigation (eLoran) systems. The analysis evaluates five forecasting approaches: multivariate linear regression, long short-term memory (LSTM) networks, random forest (RF), a fusion model
Jianchen Di +5 more
openalex +3 more sources
Combining time series and cross sectional data for the analysis of dynamic marketing systems
, 2003 Vector AutoRegressive (VAR) models have become popular in analyzing the behavior of competitive marketing systems. However, an important drawback of VAR models is that the number of parameters to be estimated can become very large. This may cause estimation problems, due to a lack of degrees of freedom.
Csilla Horváth, Jaap E. Wieringa
openalex +5 more sources
Mesoscopic Community Structure of Financial Markets Revealed by Price and Sign Fluctuations. [PDF]
PLoS ONE, 2015 The mesoscopic organization of complex systems, from financial markets to the brain, is an intermediate between the microscopic dynamics of individual units (stocks or neurons, in the mentioned cases), and the macroscopic dynamics of the system as a ...
Assaf Almog +3 more
doaj +7 more sources
Estimation of Information Flow-Based Causality with Coarsely Sampled Time Series [PDF]
EntropyThe past decade has seen growing applications of the information flow-based causality analysis, particularly with the concise formula of its maximum likelihood estimator.
X. San Liang
doaj +2 more sources
Entropy, 2021 The combination of network sciences, nonlinear dynamics and time series analysis provides novel insights and analogies between the different approaches to complex systems.
Bulcsú Sándor +3 more
doaj +1 more source
SoftwareX, 2020 Symbolic Information Flow Measurement software is used to compute the information flow between different components of a dynamical system or different dynamical systems using symbolic transfer entropy.
Dhurata Nebiu, Hiqmet Kamberaj
doaj +1 more source
Functional observability and subspace reconstruction in nonlinear systems
Physical Review Research, 2022 Time-series analysis is fundamental for modeling and predicting dynamical behaviors from time-ordered data, with applications in many disciplines such as physics, biology, finance, and engineering.
Arthur N. Montanari +3 more
doaj +1 more source
Online real-time learning of dynamical systems from noisy streaming data
Scientific Reports, 2023 Recent advancements in sensing and communication facilitate obtaining high-frequency real-time data from various physical systems like power networks, climate systems, biological networks, etc. However, since the data are recorded by physical sensors, it
S. Sinha +2 more
doaj +1 more source
Frontiers in Physiology, 2020 Interacting dynamical systems abound in nature, with examples ranging from biology and population dynamics, through physics and chemistry, to communications and climate.
Dushko Lukarski +5 more
doaj +1 more source