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Everything about Marginal distribution

Aspect of probability and statistics

In probability theory and statistics, the marginal distribution of a subset of a collection of random variables is the probability distribution of the variables contained in the subset. It gives the probabilities of various values of the variables in the subset without reference to the values of the other variables. This contrasts with a conditional distribution, which gives the probabilities contingent upon the values of the other variables. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Marginal distributionA 5-minute orientation
  2. Skim a recent paper: Nash Mechanisms for Market Design Based on Distribution Locational Marginal PricesInfluential work since 2022
  3. Pick up a classic book: DisadvantageThe most-reprinted book on the subject
  4. Read the landmark paper: Distribution Locational Marginal Pricing for Optimal Electric Vehicle Charging ManagementCited 359 times
  5. Go sideways: Joint probability distributionA closely related topic
  6. Go sideways: Probability density functionA closely related topic

📖 Definitions

Noun The projection of a joint probability distribution onto one of its component random variables.

🏆 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.

🔗 Related topics