stochastic order
1Stochastic ordering — In statistics, a stochastic order quantifies the concept of one random variable being bigger than another. These are usually partial orders, so that one random variable A may be neither stochastically greater than, less than nor equal to another… …
2Stochastic dominance — is a form of stochastic ordering. The term is used in decision theory to refer to situations where one lottery (a probability distribution over outcomes) can be ranked as superior to another. It is based on preferences regarding outcomes (e.g.,… …
3Stochastic resonance — (also known as SR) is observed when noise added to a system improves the systems performance in some fashion. More technically, SR occurs if the signal to noise ratio of a nonlinear system or device increases for moderate values of noise… …
4Stochastic approximation — methods are a family of iterative stochastic optimization algorithms that attempt to find zeroes or extrema of functions which cannot be computed directly, but only estimated via noisy observations. The first, and prototypical, algorithms of this …
5Stochastic programming — is a framework for modeling optimization problems that involve uncertainty. Whereas deterministic optimization problems are formulated with known parameters, real world problems almost invariably include some unknown parameters. When the… …
6Stochastic simulation — algorithms and methods were initially developed to analyse chemical reactions involving large numbers of species with complex reaction kinetics [cite journal |last=Bradley |first=Jeremy |authorlink=Jeremy Bradley |coauthors=Stephen Gilmore… …
7Stochastic universal sampling — (SUS) is a genetic operator used in genetic algorithms for selecting potentially useful solutions for recombination.First introduced into the literature by Baker [1] , SUS is a development of Fitness proportionate selection which exhibits no bias …
8Stochastic differential equation — A stochastic differential equation (SDE) is a differential equation in which one or more of the terms is a stochastic process, thus resulting in a solution which is itself a stochastic process. SDE are used to model diverse phenomena such as… …
9Stochastic matrix — For a matrix whose elements are stochastic, see Random matrix In mathematics, a stochastic matrix (also termed probability matrix, transition matrix, substitution matrix, or Markov matrix) is a matrix used to describe the transitions of a Markov… …
10Stochastic calculator — The concept of calculator stochastic is already old (for the young history of data processing) and contemporary of research and applications developed at the any end of the decade 1950 and until the middle of the decade 1970.Their definition in… …
