The generalized canonical equations K 1, K 7, K 16, K 27. The REFORM method, the invariance principal method, the matrix expansion method and G-transform. The main stochastic canonical equations K 100,...,K 106 and the estimators G 55,...,G 58 of the MAGIC (Mathematical Analysis of General Invisible Components)
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Vyacheslav L. Girko
Abstract
The generalized version of the stochastic canonical equations
References
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[6]
V. L. Girko,
30 years of General Statistical Analysis and canonical equation
© 2024 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- On a reaction diffusion problem with a moving impulse on boundary
- Backward doubly stochastic differential equations driven by fractional Brownian motion with stochastic integral-Lipschitz coefficients
- Stochastic controls of fractional Brownian motion
- QMLE for periodic absolute value GARCH models
- The generalized canonical equations K 1, K 7, K 16, K 27. The REFORM method, the invariance principal method, the matrix expansion method and G-transform. The main stochastic canonical equations K 100,...,K 106 and the estimators G 55,...,G 58 of the MAGIC (Mathematical Analysis of General Invisible Components)
Artikel in diesem Heft
- Frontmatter
- On a reaction diffusion problem with a moving impulse on boundary
- Backward doubly stochastic differential equations driven by fractional Brownian motion with stochastic integral-Lipschitz coefficients
- Stochastic controls of fractional Brownian motion
- QMLE for periodic absolute value GARCH models
- The generalized canonical equations K 1, K 7, K 16, K 27. The REFORM method, the invariance principal method, the matrix expansion method and G-transform. The main stochastic canonical equations K 100,...,K 106 and the estimators G 55,...,G 58 of the MAGIC (Mathematical Analysis of General Invisible Components)
