Unit roots test: spatial model with long memory errors
From MaRDI portal
Publication:1644197
DOI10.1016/j.spl.2018.05.003zbMath1463.62253OpenAlexW2802005245MaRDI QIDQ1644197
Nathaniel Adu, G. D. Richardson
Publication date: 21 June 2018
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2018.05.003
Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Fractional processes, including fractional Brownian motion (60G22) Non-Markovian processes: hypothesis testing (62M07)
Related Items
Periodogram ordinate: spatial model with near unit roots and dependent errors, Anisotropic functional deconvolution with long-memory noise: the case of a multi-parameter fractional Wiener sheet
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A multivariate stochastic unit root model with an application to derivative pricing
- An invariance principle for fractional Brownian sheets
- Testing for unit roots in a nearly nonstationary spatial autoregressive process
- Central limit theorem for Fourier transform and periodogram of random fields
- A note on the limit theory of a Dickey-Fuller unit root test with heavy tailed innovations
- Stochastic-Process Limits
- Distribution of the Estimators for Autoregressive Time Series With a Unit Root
- Invariance principles for self-similar set-indexed random fields
- On the design of experiments under spatial correlation
- Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root
- A subclass of lattice processes applied to a problem in planar sampling
- Regression Models with Spatially Correlated Errors
- DYNAMIC PANEL ANDERSON-HSIAO ESTIMATION WITH ROOTS NEAR UNITY
- UNIT ROOT INFERENCE FOR NON-STATIONARY LINEAR PROCESSES DRIVEN BY INFINITE VARIANCE INNOVATIONS
- Cameron-Martin Translation Theorems in the Wiener Space of Functions of Two Variables