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...

(probability theory), a diagram to represent a probability space in probability theory Decision tree, a decision support tool that uses a tree-like graph...

length Tree diagram (probability theory), a tree-like representation of a probability space TREE, an extremely fast-growing function; see Kruskal's tree theorem...

logic gate diagrams in which inputs and outputs hold the binary values of TRUE (1) or FALSE (0), the gates in a fault tree output probabilities related to...

American physicist Richard Feynman, who introduced the diagrams in 1948. The calculation of probability amplitudes in theoretical particle physics requires...

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...

elementary set theory, and to illustrate simple set relationships in probability, logic, statistics, linguistics and computer science. A Venn diagram uses simple...

Probability theory or probability calculus is the branch of mathematics concerned with probability. Although there are several different probability interpretations...

= 3 / 4 , {\displaystyle 1/4+1/2=3/4,} as in the diagram on the right. The conditional probability based on the intersection of events defined as: μ...

In probability theory, a probability space or a probability triple ( Ω , F , P ) {\displaystyle (\Omega ,{\mathcal {F}},P)} is a mathematical construct...

Independence is a fundamental notion in probability theory, as in statistics and the theory of stochastic processes. Two events are independent, statistically...

computer science, game theory, and philosophy to, for example, draw inferences about the expected frequency of events. Probability theory is also used to describe...

shown with tree diagrams. The two diagrams partition the same outcomes by A and B in opposite orders, to obtain the inverse probabilities. Bayes' theorem...

The standard probability axioms are the foundations of probability theory introduced by Russian mathematician Andrey Kolmogorov in 1933. These axioms remain...

In probability theory, the law (or formula) of total probability is a fundamental rule relating marginal probabilities to conditional probabilities. It...

In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes...

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...

In mathematics, a Voronoi diagram is a partition of a plane into regions close to each of a given set of objects. It can be classified also as a tessellation...

to the fields of probability and algebra, especially semisimple Lie groups, Lie algebras, and Markov processes. The Dynkin diagram, the Dynkin system...

elliptical distribution. Bayesian programming Chow–Liu tree Conditional probability Copula (probability theory) Disintegration theorem Multivariate statistics...

scenario. Build the event tree diagram Obtain event failure probabilities: If the failure probability can not be obtained use fault tree analysis to calculate...

Punnett, who devised the approach in 1905. The diagram is used by biologists to determine the probability of an offspring having a particular genotype....

logician and philosopher noted for introducing Venn diagrams, which are used in logic, set theory, probability, statistics, and computer science. In 1866, Venn...

In the context of decision trees in information theory and machine learning, information gain refers to the conditional expected value of the Kullback–Leibler...

In probability theory and related fields, a stochastic (/stəˈkæstɪk/) or random process is a mathematical object usually defined as a family of random...

Statistical inference Infinite divisibility (probability) Infinite monkey theorem Influence diagram Info-gap decision theory Information bottleneck method Information...

Influence Diagrams Approach (IDA) is a technique used in the field of Human reliability Assessment (HRA), for the purposes of evaluating the probability of a...

In probability theory and statistics, a probability distribution is a function that gives the probabilities of occurrence of possible events for an experiment...

Imprecise probability generalizes probability theory to allow for partial probability specifications, and is applicable when information is scarce, vague...

In probability theory and statistics, a Markov chain or Markov process is a stochastic process describing a sequence of possible events in which the probability...