Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics and signal processing, an autoregressive (AR) model is a type of random process which is often used to model and predict various types of natural and social phenomena. An autoregressive model can thus be viewed as the output of an all-pole infinite impulse response filter whose input is white noise.

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