Process

Implementing the noisy AR(1) Process

Implementing the noisy AR(1) Process
  1. How do you calculate AR 1?
  2. Is an AR 1 process stationary?
  3. How do you calculate autocorrelation in AR model?

How do you calculate AR 1?

Consider the AR(1) process Xt = φXt−1 + ωt. In lag-operator notation this process is (1 − φB)Xt = ωt and the characteristic polynomial is Φ(B) = (1 − φB).

Is an AR 1 process stationary?

An AR(1) process is stationary if and only if |ϕ1|<1.

How do you calculate autocorrelation in AR model?

Autocorrelation Function (ACF)

Let y h = E ( x t x t + h ) = E ( x t x t − h ) , the covariance observations time periods apart (when the mean = 0). Let = correlation between observations that are time periods apart. To find the covariance , multiply each side of the model for by x t − h , then take expectations.

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