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- Large_deviations_of_Gaussian_random_functions abstract "A random function – of either one variable (a random process), or two or more variables(a random field) – is called Gaussian if every finite-dimensional distribution is a multivariate normal distribution. Gaussian random fields on the sphere are useful (for example) when analysing the anomalies in the cosmic microwave background radiation (see, pp. 8–9); brain images obtained by positron emission tomography (see, pp. 9–10).Sometimes, a value of a Gaussian random function deviates from its expected value by several standard deviations. This is a large deviation. Though rare in a small domain (of space or/and time), large deviations may be quite usual in a large domain.".
- Large_deviations_of_Gaussian_random_functions wikiPageID "10184674".
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- Large_deviations_of_Gaussian_random_functions hasPhotoCollection Large_deviations_of_Gaussian_random_functions.
- Large_deviations_of_Gaussian_random_functions subject Category:Probability_theory.
- Large_deviations_of_Gaussian_random_functions subject Category:Stochastic_processes.
- Large_deviations_of_Gaussian_random_functions type Abstraction100002137.
- Large_deviations_of_Gaussian_random_functions type Cognition100023271.
- Large_deviations_of_Gaussian_random_functions type Concept105835747.
- Large_deviations_of_Gaussian_random_functions type Content105809192.
- Large_deviations_of_Gaussian_random_functions type Hypothesis105888929.
- Large_deviations_of_Gaussian_random_functions type Idea105833840.
- Large_deviations_of_Gaussian_random_functions type Model105890249.
- Large_deviations_of_Gaussian_random_functions type PsychologicalFeature100023100.
- Large_deviations_of_Gaussian_random_functions type StochasticProcess113561896.
- Large_deviations_of_Gaussian_random_functions type StochasticProcesses.
- Large_deviations_of_Gaussian_random_functions comment "A random function – of either one variable (a random process), or two or more variables(a random field) – is called Gaussian if every finite-dimensional distribution is a multivariate normal distribution. Gaussian random fields on the sphere are useful (for example) when analysing the anomalies in the cosmic microwave background radiation (see, pp. 8–9); brain images obtained by positron emission tomography (see, pp.".
- Large_deviations_of_Gaussian_random_functions label "Large deviations of Gaussian random functions".
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- Large_deviations_of_Gaussian_random_functions sameAs Q6489120.
- Large_deviations_of_Gaussian_random_functions sameAs Large_deviations_of_Gaussian_random_functions.
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