Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
New data formats that include both video and the corresponding depth maps, such as multiview plus depth (MVD), enable new video… 
Highly Cited
2008
Highly Cited
2008
Broken rotor bars in an induction motor create asymmetries and result in abnormal amplitude of the sidebands around the… 
Highly Cited
2005
Highly Cited
2005
Estimating the flows of rivers can have a significant economic impact, as this can help in agricultural water management and in… 
Highly Cited
2004
Highly Cited
2004
We present the first demonstration of single-walled carbon nanotube transistor operation at microwave frequencies. To measure the… 
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
1995
Highly Cited
1995
Observations of both Ethernet traffic and variable bit rate (VBR) video traffic have demonstrated that these traffics exhibit… 
Highly Cited
1986
Highly Cited
1986
Highly Cited
1970
Highly Cited
1970
The problem of estimating the autoregressive parameters of a mixed autoregressive moving-average (ARMA) time series (of known…