Xia, Qiang and Liu, Jinshan and Pan, Jiazhu and Liang, Rubing (2012) Bayesian analysis of two-regime threshold autoregressive moving average model with exogenous inputs. Communications in Statistics - Simulation and Computation, 41 (6). pp. 1089-1104. ISSN 0361-0918Full text not available in this repository. Request a copy from the Strathclyde author
We consider Bayesian analysis of threshold autoregressive moving average model with exogenous inputs (TARMAX). In order to obtain the desired marginal posterior distributions of all parameters including the threshold value of the two-regime TARMAX model, we use two different Markov chain Monte Carlo (MCMC) methods to apply Gibbs sampler with Metropolis-Hastings algorithm. The first one is used to obtain iterative least squares estimates of the parameters. The second one includes two MCMC stages for estimate the desired marginal posterior distributions and the parameters. Simulation experiments and a real data example show support to our approaches.
|Keywords:||Bayesian analysis, Gibbs sampler, Metropolis-Hastings algorithm, TARMAX model, Probabilities. Mathematical statistics, Modelling and Simulation, Statistics and Probability|
|Subjects:||Science > Mathematics > Probabilities. Mathematical statistics|
|Department:||Faculty of Science > Mathematics and Statistics|
|Depositing user:||Pure Administrator|
|Date Deposited:||02 Aug 2012 13:40|
|Last modified:||22 Mar 2017 12:15|