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Update estspec.md
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lectures/estspec.md

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@@ -311,7 +311,7 @@ ax.set_xlabel("Position in sequence of weights")
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plt.show()
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```
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### Estimation with Smoothing
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### Estimation with smoothing
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```{index} single: Spectra, Estimation; Smoothing
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```
@@ -350,7 +350,7 @@ and the choice of appropriate smoothing will have to be made based on
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judgement/priors or some other theory.
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(estspec_pfas)=
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### Pre-Filtering and Smoothing
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### Pre-filtering and smoothing
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```{index} single: Spectra, Estimation; Pre-Filtering
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```
@@ -395,7 +395,7 @@ provided the maximum possible amount of information about the value $I(\omega)$.
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Another way to put this is that if $I$ is relatively constant, then we can use a large amount of smoothing without introducing too much bias.
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(ar_periodograms)=
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### The AR(1) Setting
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### The AR(1) setting
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```{index} single: Spectra, Estimation; AR(1) Setting
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```

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