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Identifying candidate model clouds in large parameter spaces

โœ Scribed by J. Bartels; A. Baratt; G. Constantine; Y. Vodovotz; G. Clermont

Book ID
113696448
Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
79 KB
Volume
20
Category
Article
ISSN
0883-9441

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## ABSTRACT The state space model is widely used to handle time series data driven by related latent processes in many fields. In this article, we suggest a framework to examine the relationship between state space models and autoregressive integrated moving average (ARIMA) models by examining the