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Gaussian probability distribution

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  • Probability distribution — This article is about probability distribution. For generalized functions in mathematical analysis, see Distribution (mathematics). For other uses, see Distribution (disambiguation). In probability theory, a probability mass, probability density …   Wikipedia

  • Compound probability distribution — In probability theory, a compound probability distribution is the probability distribution that results from assuming that a random variable is distributed according to some parametrized distribution F with an unknown parameter θ that is… …   Wikipedia

  • Continuous probability distribution — In probability theory, a probability distribution is called continuous if its cumulative distribution function is continuous. That is equivalent to saying that for random variables X with the distribution in question, Pr [ X = a ] = 0 for all… …   Wikipedia

  • probability distribution — The mathematical function describing the probability of different events, as described by values for a variable. A symmetrical distribution (one where to values are evenly distributed around the mean) is called a bell curve, a normal distribution …   Financial and business terms

  • Maximum entropy probability distribution — In statistics and information theory, a maximum entropy probability distribution is a probability distribution whose entropy is at least as great as that of all other members of a specified class of distributions. According to the principle of… …   Wikipedia

  • Wigner quasi-probability distribution — See also Wigner distribution, a disambiguation page. The Wigner quasi probability distribution (also called the Wigner function or the Wigner Ville distribution) is a special type of quasi probability distribution. It was introduced by Eugene… …   Wikipedia

  • Gaussian noise — is noise that has a probability density function (abbreviated pdf) of the normal distribution (also known as Gaussian distribution). In other words, the values that the noise can take on are Gaussian distributed. It is most commonly used as… …   Wikipedia

  • Gaussian quantum Monte Carlo — is a quantum Monte Carlo method that shows a potential solution to the fermion sign problem without the deficiencies of alternative approaches. Instead of the Hilbert space, this method works in the space of density matrices that can be spanned… …   Wikipedia

  • 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

  • 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

  • Gaussian process — A Gaussian process is a stochastic process which generates samples over time { X t } t ∈ T such that no matter which finite linear combination of the X t one takes (or, more generally, any linear functional of the sample function X t ), that… …   Wikipedia

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