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lectures/mle.md
@@ -636,7 +636,7 @@ print(stats_poisson.summary())
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```
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Now let's replicate results from Daniel Treisman's paper, [Russia's
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-Billionaires](https://pubs.aeaweb.org/doi/pdfplus/10.1257/aer.p20161068),
+Billionaires](https://www.aeaweb.org/articles?id=10.1257/aer.p20161068),
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mentioned earlier in the lecture.
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Treisman starts by estimating equation {eq}`poissonreg`, where:
lectures/var_dmd.md
@@ -835,4 +835,4 @@ Counterparts of all of the salient formulas above then apply.
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You can find a Python implementation of DMD here:
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-https://mathlab.github.io/PyDMD/
+https://mathlab.sissa.it/pydmd
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