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 0143-9782
Full text not available from this repository.Abstract
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.
Item Type:
Journal Article
Journal or Publication Title:
Journal of Time Series Analysis
Uncontrolled Keywords:
/dk/atira/pure/core/keywords/mathsandstatistics
Subjects:
?? integer-valued time-seriesreversible jump mcmc em algorithm count datamathematics and statisticsapplied mathematicsstatistics and probabilitystatistics, probability and uncertaintyqa mathematics ??
Departments:
ID Code:
59738
Deposited By:
Deposited On:
02 Nov 2012 15:53
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 13:22