Asymptotic normality of residual density estimator in stationary and explosive autoregressive models
From MaRDI portal
Publication:2674491
DOI10.1016/j.csda.2022.107549OpenAlexW4283208676MaRDI QIDQ2674491
Min Gao, Shipeng Wu, Wei Yu, Wenzhi Yang
Publication date: 14 September 2022
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2022.107549
asymptotic distribution\(\alpha\)-mixing sequenceexplosive autoregressive modelresidual kernel density estimator
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Limit theory for moderate deviations from a unit root
- Limit theory for an explosive autoregressive process
- Nonparametric kernel regression estimation for functional stationary ergodic data: Asymptotic properties
- Global property of error density estimation in nonlinear autoregressive time series models
- Mildly explosive autoregression with mixing innovations
- Strong consistency of the distribution estimator in the nonlinear autoregressive time series
- Weak convergence of the residual empirical process in explosive autoregression
- Nonparametric regression estimation under mixing conditions
- Asymptotic normality and Berry-Esseen results for conditional density estimator with censored and dependent data
- A Berry-Esseen type bound in kernel density estimation for strong mixing censored samples
- Asymptotic distribution of the spectra of a class of generalized Kac-Murdock-Szegö matrices
- Nonparametric curve estimation from time series
- Time series: theory and methods.
- Uniform strong estimation under \(\alpha\)-mixing, with rates
- Asymptotics of the \(L_p\)-norms of density estimators in the first-order autoregressive models.
- Estimating the density of the residuals in autoregressive models
- Asymptotic normality of the kernel estimate of a probability density function under association
- On the Bickel-Rosenblatt test for first-order autoregressive models
- Glivenko-Cantelli theorem for the kernel error distribution estimator in the first-order autoregressive model
- Adjusted quasi-maximum likelihood estimator for mixed regressive, spatial autoregressive model and its small sample bias
- Asymptotic normality of kernel density function estimator from continuous time stationary and dependent processes
- Nonlinear time series. Nonparametric and parametric methods
- Approximate least squares estimation for spatial autoregressive models with covariates
- On some global measures of the deviations of density function estimates
- A goodness-of-fit test of the errors in nonlinear autoregressive time series models
- A note on the Bickel\,-\,Rosenblatt test in autoregressive time series
- Maximal moment inequality for partial sums of strong mixing sequences and application
- A LIMIT THEOREM FOR MILDLY EXPLOSIVE AUTOREGRESSION WITH STABLE ERRORS
- TOWARD A UNIFIED INTERVAL ESTIMATION OF AUTOREGRESSIONS
- Some probability inequalities of least-squares estimator in non linear regression model with strong mixing errors
- Distribution of the Estimators for Autoregressive Time Series With a Unit Root
- A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION
- On Asymptotic Distributions of Estimates of Parameters of Stochastic Difference Equations
- The Limiting Distribution of the Serial Correlation Coefficient in the Explosive Case
- Recursive probability density estimation for weakly dependent stationary processes
- THE INVARIANCE PRINCIPLE FOR LINEAR PROCESSES WITH APPLICATIONS
- Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models
- Analytic Inequalities
- Asymptotic normality of kernel density estimators under dependence
This page was built for publication: Asymptotic normality of residual density estimator in stationary and explosive autoregressive models