Enciso Mora, Victor and Neal, Peter and Subba Rao, Tata (2009) Efficient order selection algorithms for integer valued ARMA processes. Journal of Time Series Analysis, 30 (1). pp. 1-18. ISSN 0143-9782Full text not available from this repository.
We consider the problem of model (order) selection for integer-valued autoregressive moving-average (INARMA) processes. A very efficient reversible jump Markov chain Monte Carlo (RJMCMC) algorithm is constructed for moving between INARMA processes of different orders. An alternative in the form of the EM algorithm is given for determining the order of an integer-valued autoregressive (INAR) process. Both algorithms are successfully applied to both simulated and real data sets.
|Journal or Publication Title:||Journal of Time Series Analysis|
|Uncontrolled Keywords:||Integer-valued time-series ; reversible jump MCMC ; EM algorithm ; count data|
|Subjects:||Q Science > QA Mathematics|
|Departments:||Faculty of Science and Technology > Mathematics and Statistics|
|Deposited On:||02 Nov 2012 15:53|
|Last Modified:||25 Feb 2017 03:24|
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