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The nonlinear vector autoregressive (NVAR) model provides an appealing framework to analyze multivariate time series obtained from a nonlinear dynamical system.
Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics
J. B. Kruskal · 1977
Earlier work this paper cites.
Macroeconomics and reality
C. A. Sims · 1980
Earlier work this paper cites.
Multilayer feedforward networks are universal approximators
K. Hornik, M. Stinchcombe, and H. White · 1989
Earlier work this paper cites.
Specification, estimation, and evaluation of smooth transition autoregressive models
T. Teräsvirta · 1994
Earlier work this paper cites.
Independent component analysis for time-dependent stochastic processes
A. Hyvärinen · 1998
Earlier work this paper cites.
Testing and modeling multivariate threshold models
R. S. Tsay · 1998
Earlier work this paper cites.
Fast and robust fixed-point algorithms for independent component analysis
A. Hyvärinen · 1999
Earlier work this paper cites.
Nonlinear independent component analysis: Existence and uniqueness results
A. Hyvärinen and P. Pajunen · 1999
Earlier work this paper cites.
The Elements of Statistical Learning
T. Hastie, R Tibshirani, and J. Friedman · 2001
Earlier work this paper cites.
Blind source separation by nonstationarity of variance: a cumulant-based approach
A. Hyvärinen · 2001
Earlier work this paper cites.
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G. E. Primiceri · 2005
Earlier work this paper cites.
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G. Gómez-Herrero, M. Atienza, K. Egiazarian, and J.L. Cantero · 2008
Earlier work this paper cites.
Identifiability of parameters in latent structure models with many observed variables
E. S. Allman, C. Matias, and J. A. Rhodes · 2009
Earlier work this paper cites.
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A. Hyvärinen, K. Zhang, S. Shimizu, and P. O. Hoyer · 2010
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Cited alongside, same era.
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Later among the works it cites.
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B. Sriperumbudur, K. Fukumizu, A. Gretton, A. Hyvärinen, and R. Kumar · 2017
Later among the works it cites.
Decomposing motion and content for natural video sequence prediction
R. Villegas, J. Yang, S. Hong, X. Lin, and H. Lee · 2017
Later among the works it cites.
Bayesian nonparametric vector autoregressive models
M. Kalli and J. E. Griffin · 2018
Later among the works it cites.
Across-subjects classification of stimulus modality from human meg high frequency activity
B. U. Westner, S. S. Dalal, S. Hanslmayr, and T. Staudigl · 2018
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