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Autoregressive model

Known as: Autoregressive, AR process, Stochastic term 
In statistics and signal processing, an autoregressive (AR) model is a representation of a type of random process; as such, it describes certain time… 
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Papers overview

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Highly Cited
2009
Highly Cited
2001
Highly Cited
2001
Facile successive insertion of carbon monoxide and strained alkenes has been observed for both neutral Pd(R)X(Ar-BIAN) and… 
Highly Cited
2001
Highly Cited
2001
We consider the problem of estimating the directions of arrival (DOA) of multiple sources in the presence of local scattering… 
Highly Cited
1995
Highly Cited
1995
We introduce a formula to compute an optimum 2-D shape-adaptive Karhunen-Loeve transform (KLT) suitable for coding pels in… 
Highly Cited
1989
Highly Cited
1989
Recursive estimation algorithms are derived for moving-average and autoregressive moving-average processes. These algorithms can… 
Highly Cited
1989
Highly Cited
1989
A method is given for unsupervised segmentation and classification of 1D and 2D signals. The method is based on a self-organizing… 
Highly Cited
1986
Highly Cited
1986
Highly Cited
1981