An investigation of tests for linearity and the accuracy of likelihood based inference using random fields
From MaRDI portal
Publication:4416009
DOI10.1111/1368-423X.00084zbMath1039.62091MaRDI QIDQ4416009
Publication date: 7 August 2003
Published in: The Econometrics Journal (Search for Journal in Brave)
Random fields; image analysis (62M40) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Monte Carlo methods (65C05)
Related Items (3)
Testing for Neglected Nonlinearity Using Regularized Artificial Neural Networks ⋮ On the Performance of Popular Unit-Root Tests Against Various Nonlinear Dynamic Models: A Simulation Study ⋮ What is an oil shock?
Cites Work
- Threshold models in non-linear time series analysis
- Nonparametric regression using Bayesian variable selection
- Testing for neglected nonlinearity in time series models. A comparison of neural network methods and alternative tests
- Potential problems in estimating bilinear time-series models
- Statistics for Spatial Data
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: An investigation of tests for linearity and the accuracy of likelihood based inference using random fields