Estimation of time series models using residuals dependence measures
From MaRDI portal
Publication:2105206
DOI10.1214/22-AOS2220MaRDI QIDQ2105206
Publication date: 8 December 2022
Published in: The Annals of Statistics (Search for Journal in Brave)
characteristic functiongeneralized method of momentsmartingale differencegeneralized spectral densitynoncausal processesnoninvertible processes
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Inference from stochastic processes and spectral analysis (62M15)
Related Items (2)
Generalized Covariance Estimator ⋮ Estimation of time series models using residuals dependence measures
Cites Work
- Unnamed Item
- Unnamed Item
- Measuring and testing dependence by correlation of distances
- Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation
- Generalized spectral tests for the martingale difference hypothesis
- Efficient estimation of general dynamic models with a continuum of moment conditions
- Rank-based estimation for all-pass time series models
- Testing the martingale difference hypothesis using integrated regression functions
- Deconvolution and estimation of transfer function phase and coefficients for nongaussian linear processes
- An approximate maximum likelihood estimation for non-Gaussian non-minimum phase moving average processes
- Moment inequalities for mixing sequences
- Adaptive estimation in noncausal stationary AR processes
- VAR analysis, nonfundamental representations, Blaschke matrices
- A new weak dependence condition and applications to moment inequalities
- Frequency domain minimum distance inference for possibly noninvertible and noncausal ARMA models
- On adaptive estimation in stationary ARMA processes
- Least absolute deviation estimation for all-pass time series models
- Gaussian and non-Gaussian linear time series and random fields
- Statistical dependence: beyond Pearson's \(\rho\)
- Estimation of time series models using residuals dependence measures
- Weak dependence. With examples and applications.
- CONSISTENT SPECIFICATION TESTING WITH NUISANCE PARAMETERS PRESENT ONLY UNDER THE ALTERNATIVE
- An efficiency result for the empirical characteristic function in stationary time-series models
- Fractional differencing
- On the Strong Mixing Property for Linear Sequences
- Hypothesis Testing in Time Series via the Empirical Characteristic Function: A Generalized Spectral Density Approach
- Testing for fundamental vector moving average representations
- Noncausal Autoregressions for Economic Time Series
- Testing Mutual Independence in High Dimension via Distance Covariance
- Testing independence for multivariate time series via the auto-distance correlation matrix
- Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models
- An exponential model for the spectrum of a scalar time series
- Generalized Spectral Tests for Conditional Mean Models in Time Series with Conditional Heteroscedasticity of Unknown Form
- Local Explosion Modelling by Non-Causal Process
This page was built for publication: Estimation of time series models using residuals dependence measures