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Everything about Correlation function

Correlation as a function of distance

A correlation function is a function that gives the statistical correlation between random variables, contingent on the spatial or temporal distance between those variables. If one considers the correlation function between random variables representing the same quantity measured at two different points, then this is often referred to as an autocorrelation function, which is made up of autocorrelations. Correlation functions of different random variables are sometimes called cross-correlation functions to emphasize that different variables are being considered and because they are made up of cross-correlations. Wikipedia →

đź§­ Start here: a 6-step reading path

  1. Read the overview: Correlation functionA 5-minute orientation
  2. Skim a recent paper: Single-cell atlas reveals correlates of high cognitive function, dementia, and resilience to Alzheimer’s disease pathologyInfluential work since 2022
  3. Pick up a classic book: Periodically correlated random sequencesThe most-reprinted book on the subject
  4. Read the landmark paper: Development of the Colle-Salvetti correlation-energy formula into a functional of the electron densityCited 97,734 times
  5. Go sideways: Partition function (mathematics)A closely related topic
  6. Go sideways: Cross-correlation matrixA closely related topic

đź“– Definitions

Noun function giving the statistical correlation between random variables at two different points in space or time

🗂️ The subject at a glance

  1. Definition
  2. Properties of probability distributions

🏆 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.

đź”— Related topics