On inference for threshold autoregressive models.
From MaRDI portal
Publication:1872852
DOI10.1007/BF02595729zbMath1109.62350OpenAlexW2099673056MaRDI QIDQ1872852
Publication date: 18 May 2003
Published in: Test (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02595729
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Bayesian inference (62F15)
Cites Work
- Unnamed Item
- Unnamed Item
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- An introduction to bispectral analysis and bilinear time series models
- Random coefficient autoregressive models: an introduction
- Estimating the dimension of a model
- A candidate's formula: A curious result in Bayesian prediction
- Modelling nonlinear random vibrations using an amplitude-dependent autoregressive time series model
- STATE-DEPENDENT MODELS: A GENERAL APPROACH TO NON-LINEAR TIME SERIES ANALYSIS
- Bayesian analysis of threshold autoregressions
- BAYESIAN THRESHOLD AUTOREGRESSIVE MODELS FOR NONLINEAR TIME SERIES
- Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes
- Marginal Likelihood From the Metropolis–Hastings Output
- MCMC methods for restoration of nonlinearly distorted autoregressive signals.
This page was built for publication: On inference for threshold autoregressive models.