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

In probability theory, a pairwise independent collection of random variables is a set of random variables any two of which are independent. Any collection...

In probability theory, conditional independence describes situations wherein an observation is irrelevant or redundant when evaluating the certainty of...

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

In probability theory and statistics, a collection of random variables is independent and identically distributed (i.i.d., iid, or IID) if each random...

In probability theory and statistics, a copula is a multivariate cumulative distribution function for which the marginal probability distribution of each...

total probability Bayes' theorem Independence (probability theory) (Related topics: measure theory) Sample spaces, σ-algebras and probability measures...

Free probability is a mathematical theory that studies non-commutative random variables. The "freeness" or free independence property is the analogue...

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...

vine is a graphical tool for labeling constraints in high-dimensional probability distributions. A regular vine is a special case for which all constraints...

In probability theory, comonotonicity mainly refers to the perfect positive dependence between the components of a random vector, essentially saying that...

catalog of articles in probability theory. For distributions, see List of probability distributions. For journals, see list of probability journals. For contributors...

In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption...

In probability theory, the tail dependence of a pair of random variables is a measure of their comovements in the tails of the distributions. The concept...

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

In statistics, there is a negative relationship or inverse relationship between two variables if higher values of one variable tend to be associated with...

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

In probability theory, conditional dependence is a relationship between two or more events that are dependent when a third event occurs. For example, if...

information theory, algorithmic probability, also known as Solomonoff probability, is a mathematical method of assigning a prior probability to a given...

statistics, Local independence is the underlying assumption of latent variable models (such as factor analysis and item response theory models). The observed...

of truth Disposition Eclecticism Epistemic theories of truth Imagination Independence (probability theory) Invariant (mathematics) McNamara fallacy Normative...

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

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

possibilities, we find x 1 x 2 = { + 1  with probability  N + ( N + − 1 ) + N − ( N − − 1 ) N ( N − 1 ) − 1  with probability  2 N + N − N ( N − 1 ) {\displaystyle...

In statistics, a spurious relationship or spurious correlation is a mathematical relationship in which two or more events or variables are associated but...

Causal inference, Chapman & Hall/CRC monographs on statistics & applied probability, CRC, p. 70, ISBN 978-1-4200-7616-5 Julia M. Rohrer (2018-07-02). "Thinking...

analyst's attention to cases of equal M values. Moreover, the language of probability theory does not possess the notation to express the idea of "preventing M...

the independent variable The absence of independence (probability theory) Tail dependence, from probability theory Serial dependence, in statistics Correlation...

"Transport Catastrophe Analysis as an Alternative to a Monofractal Description: Theory and Application to Financial Crisis Time Series". Journal of Chaos. 2014:...