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@@ -88,7 +88,7 @@ We call this the induced probability distribution of random variable $X$.

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Before diving in, we'll say a few words about what probability theory means and how it connects to statistics.

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These are topics that are also touched on in these quantecon lectures :XXXXX TOM ADD

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These are topics that are also touched on in the quantecon lectures <https://python.quantecon.org/prob_meaning.html> and <https://python.quantecon.org/navy_captain.html>.

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For much of this lecture we'll be discussing fixed "population" probabilities.

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**Discrete marginal distribution**

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TOM -- REWRITE OR MAYBE DROP PARTS OF

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If no copula function is given, there could be more than one copulings for two given mariginal distributions.

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As mentioned above, for two given marginal distributions there can be more than one coupling.

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For example, consider two random variables $X, Y$ with distributions

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Read the original on github.com ↗