Autoregressive Model
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 phenomena. The autoregressive model is one of a group of linear prediction formulas that attempt to predict an output of a system based on the previous outputs.
Read more about Autoregressive Model: Definition, Graphs of AR(p) Processes, Example: An AR(1)-process, Calculation of The AR Parameters, Implementations in Statistics Packages
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