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Everything about Exchangeable random variables

Concept in statistics

In statistics, an exchangeable sequence of random variables is a sequence X1, X2, X3, ... whose joint probability distribution does not change when the positions in the sequence in which finitely many of them appear are altered. In other words, the joint distribution is invariant to finite permutation. Thus, for example the sequences Wikipedia →

đź§­ Start here: a 6-step reading path

  1. Read the overview: Exchangeable random variablesA 5-minute orientation
  2. Skim a recent paper: Hoeffding and Bernstein inequalities for weighted sums of exchangeable random variablesInfluential work since 2022
  3. Pick up a classic book: More Evidence Against the Random Walk HypothesisThe most-reprinted book on the subject
  4. Read the landmark paper: Representations for partially exchangeable arrays of random variablesCited 270 times
  5. Go sideways: De Finetti's theoremA closely related topic
  6. Go sideways: Donsker's theoremA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

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