In probability theory, an event is a subset 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...
28 KB (4,646 words) - 16:26, 15 July 2025
Probability theory or probability calculus is the branch of mathematics concerned with probability. Although there are several different probability interpretations...
26 KB (3,568 words) - 18:40, 15 July 2025
In probability theory, the law (or formula) of total probability is a fundamental rule relating marginal probabilities to conditional probabilities. It...
6 KB (1,121 words) - 04:52, 20 June 2025
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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The standard probability axioms are the foundations of probability theory introduced by Russian mathematician Andrey Kolmogorov in 1933. These axioms remain...
11 KB (1,599 words) - 04:30, 19 April 2025
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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computer science, game theory, and philosophy to, for example, draw inferences about the expected frequency of events. Probability theory is also used to describe...
39 KB (5,149 words) - 01:10, 6 July 2025
In probability theory, an experiment or trial (see below) is the mathematical model of any procedure that can be infinitely repeated and has a well-defined...
5 KB (619 words) - 01:16, 18 June 2025
In probability theory, a martingale is a stochastic process in which the expected value of the next observation, given all prior observations, is equal...
23 KB (3,468 words) - 21:44, 29 May 2025
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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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...
10 KB (1,425 words) - 00:50, 24 June 2025
probability space Random element Random compact set Dynkin system Probability axioms Event (probability theory) Complementary event Elementary event "Almost...
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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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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...
3 KB (470 words) - 12:05, 7 May 2025
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...
22 KB (1,757 words) - 06:09, 28 July 2025
Bayesian probability (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən) is an interpretation of the concept of probability, in which, instead of frequency or...
33 KB (3,426 words) - 21:46, 22 July 2025
In probability theory and statistics, a probability distribution is a function that gives the probabilities of occurrence of possible events for an experiment...
48 KB (6,688 words) - 17:43, 6 May 2025
compact set Dynkin system Probability axioms Normalizing constant Event (probability theory) Complementary event Elementary event Mutually exclusive Boole's...
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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...
25 KB (2,853 words) - 04:50, 27 July 2025
In probability theory and statistics, the empirical probability, relative frequency, or experimental probability of an event is the ratio of the number...
6 KB (729 words) - 09:52, 22 July 2024
In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption...
34 KB (4,701 words) - 02:55, 17 July 2025
In probability theory and computer science, a log probability is simply a logarithm of a probability. The use of log probabilities means representing...
7 KB (938 words) - 06:13, 19 November 2024
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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Poisson distribution (redirect from Poisson probability)
In probability theory and statistics, the Poisson distribution (/ˈpwɑːsɒn/) is a discrete probability distribution that expresses the probability of a...
82 KB (11,307 words) - 16:24, 2 August 2025
Decision theory or the theory of rational choice is a branch of probability, economics, and analytic philosophy that uses expected utility and probability to...
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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...
71 KB (10,208 words) - 07:29, 15 July 2025
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...
7 KB (929 words) - 23:51, 25 July 2025
List of statistics articles (redirect from Probability Applications)
inequality Ethical problems using children in clinical trials Event (probability theory) Event study Evidence lower bound Evidence under Bayes theorem Evolutionary...
87 KB (8,280 words) - 18:37, 30 July 2025
In probability theory, the total variation distance is a statistical distance between probability distributions, and is sometimes called the statistical...
6 KB (785 words) - 23:05, 17 March 2025