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@@ -8,7 +8,7 @@ Course materials for Computational Statistics, a PhD-level course at [EMAp](http
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As complementary material,
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- These lecture [notes](https://statweb.stanford.edu/~susan/courses/s227/) by stellar statistician [Susan Holmes](https://statweb.stanford.edu/~susan/) are also well worth taking a look.
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- These lecture [notes](https://web.archive.org/web/20131215003910/https://statweb.stanford.edu/~susan/courses/s227/) by stellar statistician [Susan Holmes](https://statweb.stanford.edu/~susan/) are also well worth taking a look.
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-[Monte Carlo theory, methods and examples](https://statweb.stanford.edu/~owen/mc/) by [Professor Art Owen](https://statweb.stanford.edu/~owen/), gives a nice and complete treatment of all the topics on simulation, including a whole chapter on variance reduction.
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