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lectures/ar1_processes.md

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@@ -48,15 +48,17 @@ plt.rcParams["figure.figsize"] = (11, 5) #set default figure size
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## The AR(1) model
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The *AR(1) model* (autoregressive model of order 1) takes the form
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The **AR(1) model** (autoregressive model of order 1) takes the form
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```{math}
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:label: can_ar1
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X_{t+1} = a X_t + b + c W_{t+1}
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```
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where $a, b, c$ are scalar-valued parameters and the equation is a *stochastic recurrence relations*.
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where $a, b, c$ are scalar-valued parameters
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(Equation {eq}`can_ar1` is sometimes called a **stochastic difference equation**.)
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For example, $X_t$ might be
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