Concept information
Preferred term
Gaussian process
Definition(s)
- In probability theory and statistics, a Gaussian process is a stochastic process (a collection of random variables indexed by time or space), such that every finite collection of those random variables has a multivariate normal distribution, i.e. every finite linear combination of them is normally distributed. The distribution of a Gaussian process is the joint distribution of all those (infinitely many) random variables, and as such, it is a distribution over functions with a continuous domain, e.g. time or space. (Wikipedia, The Free Encyclopedia, https://en.wikipedia.org/wiki/Gaussian_process)
Broader concept(s)
In other languages
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French
-
processus de Gauss
URI
http://data.loterre.fr/ark:/67375/MDL-BR6GLFSZ-8
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