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  2. Pairwise independence - Wikipedia

    en.wikipedia.org/wiki/Pairwise_independence

    In probability theory, a pairwise independent collection of random variables is a set of random variables any two of which are independent. [1] Any collection of mutually independent random variables is pairwise independent, but some pairwise independent collections are not mutually independent.

  3. Independence (probability theory) - Wikipedia

    en.wikipedia.org/wiki/Independence_(probability...

    Independence is a fundamental notion in probability theory, as in statistics and the theory of stochastic processes.Two events are independent, statistically independent, or stochastically independent [1] if, informally speaking, the occurrence of one does not affect the probability of occurrence of the other or, equivalently, does not affect the odds.

  4. Janson inequality - Wikipedia

    en.wikipedia.org/wiki/Janson_inequality

    We want to bound the probability that any is a subset of . We will bound it using the expectation of the number of A ∈ S {\displaystyle A\in S} such that A ⊆ Γ p {\displaystyle A\subseteq \Gamma _{p}} , which we call λ {\displaystyle \lambda } , and a term from the pairwise probability of being in Γ p {\displaystyle \Gamma _{p}} , which ...

  5. Independent and identically distributed random variables

    en.wikipedia.org/wiki/Independent_and...

    A chart showing a uniform distribution. In probability theory and statistics, a collection of random variables is independent and identically distributed (i.i.d., iid, or IID) if each random variable has the same probability distribution as the others and all are mutually independent. [1]

  6. Universal hashing - Wikipedia

    en.wikipedia.org/wiki/Universal_hashing

    An even stronger condition is pairwise independence: we have this property when ,, we have the probability that , will hash to any pair of hash values , is as if they were perfectly random: (() = =) = /. Pairwise independence is sometimes called strong universality.

  7. Mutual exclusivity - Wikipedia

    en.wikipedia.org/wiki/Mutual_exclusivity

    The probability of drawing a red and a club in two drawings without replacement is then 26/52 × 13/51 × 2 = 676/2652, or 13/51. With replacement, the probability would be 26/52 × 13/52 × 2 = 676/2704, or 13/52. In probability theory, the word or allows for the possibility of both events happening

  8. Prisoners of Profit - The Huffington Post

    projects.huffingtonpost.com/prisoners-of-profit?...

    In 2001, an 18-year-old committed to a Texas boot camp operated by one of Slattery’s previous companies, Correctional Services Corp., came down with pneumonia and pleaded to see a doctor as he struggled to breathe.

  9. Probability theory - Wikipedia

    en.wikipedia.org/wiki/Probability_theory

    Probability theory or probability calculus is the branch of mathematics concerned with probability. Although there are several different probability interpretations , probability theory treats the concept in a rigorous mathematical manner by expressing it through a set of axioms .