On a different way of understanding the edge-effect for the inference of ARMA-type processes (in \(\mathbb{Z}^d\))
From MaRDI portal
Publication:6581764
DOI10.1515/jtse-2020-0012zbMATH Open1542.62113MaRDI QIDQ6581764
Publication date: 1 August 2024
Published in: Journal of Time Series Econometrics (Search for Journal in Brave)
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Inference from stochastic processes and spectral analysis (62M15)
Cites Work
- Unnamed Item
- Automatic spectral density estimation for random fields on a lattice via bootstrap
- Gaussian maximum likelihood estimation for ARMA models. II: Spatial processes
- Spatial dependence estimation using FFT of biased covariances
- Time series: theory and methods.
- Autoregressive spatial spectral estimates
- Modified Whittle estimation of multilateral models on a lattice
- Edge effects and efficient parameter estimation for stationary random fields
- Parameter estimation for a stationary process on a d-dimensional lattice
- A subclass of lattice processes applied to a problem in planar sampling
- The asymptotic theory of linear time-series models
- ON STATIONARY PROCESSES IN THE PLANE
This page was built for publication: On a different way of understanding the edge-effect for the inference of ARMA-type processes (in \(\mathbb{Z}^d\))