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» Dynamic simulation for time series modeling
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156
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FLAIRS
2009
15 years 1 months ago
Multiagent Bayesian Forecasting of Time Series with Graphical Models
Time series are found widely in engineering and science. We study multiagent forecasting in time series, drawing from literature on time series, graphical models, and multiagent s...
Yang Xiang, James Smith, Jeff Kroes
172
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JMLR
2011
175views more  JMLR 2011»
14 years 10 months ago
Causal Time Series Analysis of Functional Magnetic Resonance Imaging Data
This review focuses on dynamic causal analysis of functional magnetic resonance (fMRI) data to infer brain connectivity from a time series analysis and dynamical systems perspecti...
Alard Roebroeck, Anil K. Seth, Pedro A. Valdes-Sos...
113
Voted
CORR
2011
Springer
127views Education» more  CORR 2011»
14 years 10 months ago
Is a probabilistic modeling
— A new standpoint on financial time series, without the use of any mathematical model and of probabilistic tools, yields not only a rigorous approach of trends and volatility, ...
Michel Fliess, Cédric Join, Fréd&eac...
112
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EUSFLAT
2007
227views Fuzzy Logic» more  EUSFLAT 2007»
15 years 4 months ago
Time Series Prediction by Perturbed Fuzzy Model
This paper presents a fuzzy system approach to the prediction of nonlinear time series and dynamical systems based on a fuzzy model that includes its derivative information. The u...
Paulo Salgado, Getúlio Igrejas, Fernando Go...
166
Voted
JMLR
2010
194views more  JMLR 2010»
14 years 10 months ago
Graphical Gaussian modelling of multivariate time series with latent variables
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
Michael Eichler