In probability theory, an event is a set of outcomes of an experiment (a subset of the sample space) to which a probability is assigned. A single outcome...
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Independence is a fundamental notion in probability theory, as in statistics and the theory of stochastic processes. Two events are independent, statistically...
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computer science, game theory, and philosophy to, for example, draw inferences about the expected frequency of events. Probability theory is also used to describe...
38 KB (5,096 words) - 01:13, 18 October 2024
In probability theory, a probability space or a probability triple ( Ω , F , P ) {\displaystyle (\Omega ,{\mathcal {F}},P)} is a mathematical construct...
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Probability theory or probability calculus is the branch of mathematics concerned with probability. Although there are several different probability interpretations...
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In probability theory, the law (or formula) of total probability is a fundamental rule relating marginal probabilities to conditional probabilities. It...
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The standard probability axioms are the foundations of probability theory introduced by Russian mathematician Andrey Kolmogorov in 1933. These axioms remain...
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In probability theory, a tree diagram may be used to represent a probability space. A tree diagram may represent a series of independent events (such as...
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In probability theory, an experiment or trial (see below) is any procedure that can be infinitely repeated and has a well-defined set of possible outcomes...
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In probability theory, an outcome is a possible result of an experiment or trial. Each possible outcome of a particular experiment is unique, and different...
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In probability theory and statistics, the empirical probability, relative frequency, or experimental probability of an event is the ratio of the number...
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ideas since long before the invention of poker. The development of probability theory in the late 1400s was attributed to gambling; when playing a game...
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keystroke or mouse click Event (philosophy), an object in time, or an instantiation of a property in an object Event (probability theory), a set of outcomes...
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In probability theory, an elementary event, also called an atomic event or sample point, is an event which contains only a single outcome in the sample...
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In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption...
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The black swan theory or theory of black swan events is a metaphor that describes an event that comes as a surprise, has a major effect, and is often...
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Bayesian probability (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən) is an interpretation of the concept of probability, in which, instead of frequency or...
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In probability theory, a martingale is a sequence of random variables (i.e., a stochastic process) for which, at a particular time, the conditional expectation...
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In probability theory, the complement of any event A is the event [not A], i.e. the event that A does not occur. The event A and its complement [not A]...
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mathematicians interpret the probability values of probability theory. There are two broad categories of probability interpretations which can be called...
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probability space Random element Random compact set Dynkin system Probability axioms Event (probability theory) Complementary event Elementary event "Almost...
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Almost surely (redirect from Probability 1)
In probability theory, an event is said to happen almost surely (sometimes abbreviated as a.s.) if it happens with probability 1 (with respect to the...
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compact set Dynkin system Probability axioms Normalizing constant Event (probability theory) Complementary event Elementary event Mutually exclusive Boole's...
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In probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of possible outcomes...
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Frequentist probability or frequentism is an interpretation of probability; it defines an event's probability as the limit of its relative frequency in...
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measure theory as follows: Let ( X , Σ , μ ) {\displaystyle (X,\Sigma ,\mu )} be a probability space. Let A ∈ Σ {\displaystyle A\in \Sigma } be an event. The...
70 KB (10,018 words) - 00:46, 4 October 2024
In probability theory and computer science, a log probability is simply a logarithm of a probability. The use of log probabilities means representing...
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Poisson distribution (redirect from Poisson probability)
In probability theory and statistics, the Poisson distribution is a discrete probability distribution that expresses the probability of a given number...
81 KB (11,248 words) - 16:53, 25 August 2024
In mathematics, a probability measure is a real-valued function defined on a set of events in a σ-algebra that satisfies measure properties such as countable...
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In probability theory, the total variation distance is a distance measure for probability distributions. It is an example of a statistical distance metric...
6 KB (794 words) - 07:48, 15 May 2024