- Gaussian random variable
- Макаров: гауссова случайная величина, гауссовская случайная величина
Универсальный англо-русский словарь. Академик.ру. 2011.
Gaussian random variable
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Multivariate random variable — In mathematics, probability, and statistics, a multivariate random variable or random vector is a list of mathematical variables each of whose values is unknown, either because the value has not yet occurred or because there is imperfect… … Wikipedia
Large deviations of Gaussian random functions — A random function ndash; of either one variable (a random process), or two or more variables(a random field) ndash; is called Gaussian if every finite dimensional distribution is a multivariate normal distribution. Gaussian random fields on the… … Wikipedia
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Gaussian network model — The Gaussian network model (GNM), one of many things named after Carl Gauss, is a representation of a biological macromolecule as an elastic mass and spring network to study, understand, and characterize mechanical aspects of its long scale… … Wikipedia
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Gaussian function — In mathematics, a Gaussian function (named after Carl Friedrich Gauss) is a function of the form::f(x) = a e^{ { (x b)^2 over 2 c^2 } }for some real constants a > 0, b , c > 0, and e ≈ 2.718281828 (Euler s number).The graph of a Gaussian is a… … Wikipedia
Random Energy Model — In statistical physics of disordered systems the Random Energy Model is a toy model of a system with quenched disorder. It concerns the statistics of a system of N particles, such that the number of possible states for the systems grow as 2^N,… … Wikipedia
Inverse Gaussian distribution — Probability distribution name =Inverse Gaussian type =density pdf | cdf parameters =lambda > 0 mu > 0 support = x in (0,infty) pdf = left [frac{lambda}{2 pi x^3} ight] ^{1/2} exp{frac{ lambda (x mu)^2}{2 mu^2 x cdf = Phileft(sqrt{frac{lambda}{x… … Wikipedia
Markov random field — A Markov random field, Markov network or undirected graphical model is a set of variables having a Markov property described by an undirected graph. A Markov random field is similar to a Bayesian network in its representation of dependencies. It… … Wikipedia
Convergence of random variables — In probability theory, there exist several different notions of convergence of random variables. The convergence of sequences of random variables to some limit random variable is an important concept in probability theory, and its applications to … Wikipedia
