Analysing nonlinear time series with central subspace
From MaRDI portal
Publication:5300801
DOI10.1080/00949655.2011.571688zbMath1431.62409OpenAlexW2135404061MaRDI QIDQ5300801
Publication date: 28 June 2013
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2011.571688
nonlinear time seriessufficient dimension reductionthreshold autoregressiontime series central subspaceautoregressive conditional heteroscedasticity
Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) General nonlinear regression (62J02)
Cites Work
- Unnamed Item
- Successive direction extraction for estimating the central subspace in a multiple-index regres\-sion
- Impact of unknown covariance structures in semiparametric models for longitudinal data: an application to Wisconsin diabetes data
- Estimating the dimension of a model
- ON ESTIMATING THRESHOLDS IN AUTOREGRESSIVE MODELS
- ON THE UNBIASEDNESS PROPERTY OF AIC FOR EXACT OR APPROXIMATING LINEAR STOCHASTIC TIME SERIES MODELS
- Determining the Dimensionality in Sliced Inverse Regression
- Using the Bootstrap to Select One of a New Class of Dimension Reduction Methods
- An Adaptive Estimation of Dimension Reduction Space
- A Model Selection Approach for the Identification of Quantitative Trait Loci in Experimental Crosses
- On extended partially linear single-index models
- Analysis of Financial Time Series
- On Sliced Inverse Regression With High-Dimensional Covariates
This page was built for publication: Analysing nonlinear time series with central subspace