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Vector Autoregressive Moving Average Processes

1991
In this chapter, we extend our standard finite order VAR model, $$y_t = \nu + A_1 y_{t - 1} + \ldots + A_p y_{t - p} + \varepsilon _t , $$ by allowing the error terms, here et, to be autocorrelated rather than white noise. The autocorrelation structure is assumed to be of a relatively simple type so that et has a finite order moving average (MA)
openaire   +1 more source

The Cusum of Squares Test for Scale Changes in Infinite Order Moving Average Processes

Scandinavian Journal of Statistics, 2001
Sangyeol Lee, Siyun Park
exaly  

Gaussian Processes, Moving Averages and Quick Detection Problems

Annals of Probability, 1973
Tze Leung Lai
exaly  

Forward Moving Average Representation in Multivariate MA(1) Processes

Communications in Statistics - Theory and Methods, 2010
M Mohammadpour, A R Soltani
exaly  

Forward Moving Average Representations for MA Processes of Finite Order: Multivariate Stationary and Periodically Correlated

Communications in Statistics - Theory and Methods, 2014
M Mohammadpour, A R Soltani
exaly  

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