Nonparametric semirecursive identification in a wide sense of strong mixing processes
From MaRDI portal
Publication:619515
DOI10.1134/S0032946010010047zbMath1205.93157MaRDI QIDQ619515
A. V. Kitaeva, Gennady M. Koshkin
Publication date: 25 January 2011
Published in: Problems of Information Transmission (Search for Journal in Brave)
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nonparametric estimation of structural change points in volatility models for time series
- Recurrent nonparametric estimation of functions from functionals of multidimensional density and their derivatives
- Necessary and sufficient consistency conditions for a recursive kernel regression estimate
- Nonparametric vector autoregression
- Ergodicity of nonlinear first order autoregressive models
- Local polynomial estimators of the volatility function in nonparametric autoregression
- Strong universal pointwise consistency of recursive regression estimates
- Deviation moments of the substitution estimator and its piecewise smooth approximations
- Almost everywhere convergence of a recursive regression function estimate and classification (Corresp.)
- Nonparametric Estimation and Identification of Nonlinear ARCH Time Series Strong Convergence and Asymptotic Normality: Strong Convergence and Asymptotic Normality
- Global convergence of the recursive kernel regression estimates with applications in classification and nonlinear system estimation
- On the L 1 convergence of kernel estimators of regression functions with applications in discrimination
- Optimal asymptotic quadratic error of nonparametric regression function estimates for a continuous-time process from sampled-data
- Nonparametric Identification of Nonlinear Time Series: Projections
- Geometric ergodicity of nonlinear autoregressive models with changing conditional variances
- Asymptotically optimal discriminant functions for pattern classification
This page was built for publication: Nonparametric semirecursive identification in a wide sense of strong mixing processes