Empirical likelihood inference for functional coefficient ARCH-M model
From MaRDI portal
Publication:1734927
DOI10.1007/s10114-018-8083-9zbMath1415.62069OpenAlexW2905358668MaRDI QIDQ1734927
Yan Meng Zhao, Hai Qing Zhao, Yu'an Li
Publication date: 27 March 2019
Published in: Acta Mathematica Sinica. English Series (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10114-018-8083-9
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)
Related Items
Non-asymptotic error bound for optimal prediction of function-on-function regression by RKHS approach, On an asymmetric functional-coefficient ARCH-M model
Cites Work
- Unnamed Item
- Unnamed Item
- Empirical likelihood methods with weakly dependent processes
- A linear varying coefficient ARCH-M model with a latent variable
- An empirical likelihood method in a partially linear single-index model with right censored data
- Semiparametric empirical likelihood estimation for two-stage outcome-dependent sampling under the frame of generalized linear models
- Semiparametric inference in a GARCH-in-mean model
- The autocorrelation structure for the GARCH-M process
- Generalized empirical likelihood inference in semiparametric regression model for longitudinal data
- Distribution function inequalities for martingales
- Empirical likelihood for partial linear models with fixed designs
- Empirical likelihood and general estimating equations
- The profile likelihood estimation for single-index ARCH(\(p\))-M model
- Nonlinear time series. Nonparametric and parametric methods
- Selecting the order of an ARCH model
- The impulse response function of the long memory GARCH process
- EMPIRICAL LIKELIHOOD FOR GARCH MODELS
- Empirical likelihood ratio confidence intervals for a single functional
- Estimation and Testing Stationarity for Double-Autoregressive Models
- Time Dependence and Moments of a Family of Time‐Varying Parameter Garch in Mean Models
- Censored partial linear models and empirical likelihood