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Central limit theorem associated with bilinear random fields
-
Soumia Kharfouchi
und
Karima Kimouche
Veröffentlicht/Copyright:
17. April 2011
Abstract
In the present paper, we establish the central limit theorem for the spatial bilinear process (SBL) noted SBLd(p, q, P, Q) under stationary conditions.
Received: 2010-10-10
Accepted: 2011-03-03
Published Online: 2011-04-17
Published in Print: 2011-June
© de Gruyter 2011
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Artikel in diesem Heft
- To Anatolii Volodymyrovych Skorokhod's memory
- Preface
- Almost sure asymptotic stability and convergence of stochastic Theta methods applied to systems of linear SDEs in
- Strong uniform consistency of a nonparametric estimator of a conditional quantile for censored dependent data and functional regressors
- Central limit theorem associated with bilinear random fields
- Almost sure exponential stability of the Euler–Maruyama approximations for stochastic functional differential equations
- An improvement of subword complexity
- Estimation of the long memory parameter in stochastic volatility models by quadratic variations
Artikel in diesem Heft
- To Anatolii Volodymyrovych Skorokhod's memory
- Preface
- Almost sure asymptotic stability and convergence of stochastic Theta methods applied to systems of linear SDEs in
- Strong uniform consistency of a nonparametric estimator of a conditional quantile for censored dependent data and functional regressors
- Central limit theorem associated with bilinear random fields
- Almost sure exponential stability of the Euler–Maruyama approximations for stochastic functional differential equations
- An improvement of subword complexity
- Estimation of the long memory parameter in stochastic volatility models by quadratic variations
