Rapport (Rapport De Recherche) Année : 1997

Canonical correlation in multivariate time series analysis

Résumé

We analyze a class o f state space identification algorithms for time series, based on canonical correlation analysis in the ligth of recent results on stochastic systems theory calle d « subspace methods » .These can be describe as covariance estimation followed b y stochastic realization . The methods offer the major advantage o f converting the nonlinear parameter estimation phase in traditional V A R M A models identification in to the solution o f Riccati equation but introduce at the same time some no n trivial mathematical problem s related to positivity. The states o f the forward - backward innovations representation have an interpretation : Instrumental Variables estimators .

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hal-01526992 , version 1 (23-05-2017)

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  • HAL Id : hal-01526992 , version 1

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Zaka Ratsimalahelo. Canonical correlation in multivariate time series analysis. [Research Report] Laboratoire d'analyse et de techniques économiques(LATEC). 1997, 13 p., ref. bib. : 1 p. ⟨hal-01526992⟩
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