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  2. Probability axioms - Wikipedia

    en.wikipedia.org/wiki/Probability_axioms

    The standard probability axioms are the foundations of probability theory introduced by Russian mathematician Andrey Kolmogorov in 1933. [1] ... Simple example: coin toss

  3. List of axioms - Wikipedia

    en.wikipedia.org/wiki/List_of_axioms

    This is a list of axioms as that term is understood in mathematics. In epistemology , the word axiom is understood differently; see axiom and self-evidence . Individual axioms are almost always part of a larger axiomatic system .

  4. 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 .

  5. Probability - Wikipedia

    en.wikipedia.org/wiki/Probability

    The probability of an event is a number between 0 and 1; the larger the probability, the more likely an event is to occur. [note 1] [1] [2] This number is often expressed as a percentage (%), ranging from 0% to 100%. A simple example is the tossing of a fair (unbiased) coin.

  6. Axiom of choice - Wikipedia

    en.wikipedia.org/wiki/Axiom_of_choice

    For example, it is provable without the axiom of choice that every vector space of finite dimension has a basis, but the generalization to all vector spaces requires the axiom of choice. Likewise, a finite product of compact spaces can be proven to be compact without the axiom of choice, but the generalization to infinite products ( Tychonoff's ...

  7. Axiom - Wikipedia

    en.wikipedia.org/wiki/Axiom

    Each of these patterns is an axiom schema, a rule for generating an infinite number of axioms. For example, if ... probability, representation theory, ...

  8. Conditional probability - Wikipedia

    en.wikipedia.org/wiki/Conditional_probability

    Given two events A and B from the sigma-field of a probability space, with the unconditional probability of B being greater than zero (i.e., P(B) > 0), the conditional probability of A given B (()) is the probability of A occurring if B has or is assumed to have happened. [5]

  9. Probability interpretations - Wikipedia

    en.wikipedia.org/wiki/Probability_interpretations

    Rudolf Carnap held, for example, that logical principles always determine a unique logical probability for any statement, relative to any body of evidence. Ramsey, by contrast, thought that while degrees of belief are subject to some rational constraints (such as, but not limited to, the axioms of probability) these constraints usually do not ...

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