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Non-Gaussian distributions

Applied Mathematics and Computation, 1999
The paper studies (non-Gaussian) diffusions classified as either ``hypo-diffusion'' or ``hyper-diffusion'', where the \(\beta\) order moments are of the type \(t^{\beta/\alpha}\), with \(\beta\) and \(\alpha\) belonging to \(\mathbb{R}^*_+\). The authors introduce signed measures corresponding to non-Gaussian diffusions on \(\mathbb{R}\), inspired by ...
Michèle Mastrangelo   +2 more
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Clustering of Gaussian distributions

2016 International Joint Conference on Neural Networks (IJCNN), 2016
Clustering plays a basic role in many areas of data engineering, pattern recognition and image analysis. Gaussian Mixture Model (GMM) and Cross-Entropy Clustering (CEC) can approximate data of varied shapes by covering it with several clusters e.g. elliptical ones.
Spurek, Przemysław, Pałka, Wiesław
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Bivariate inverse gaussian distribution

Annals of the Institute of Statistical Mathematics, 1981
A bivariate inverse Gaussian (IG) density function is constructed. Relations of the bivariate IG distribution to the normal and χ2 distributions are established. The corresponding bivariate random walk (RW) density function is obtained. The properties and behaviour of bivariate IG distribution are studied for large parametric values.
Al-Hussaini, Essam K.   +1 more
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On the Distribution of the Maximum of a Gaussian Process

Theory of Probability & Its Applications, 1987
Translation from Teor. Veroyatn. Primen. 31, No.1, 134-142 (Russian) (1986; Zbl 0589.60036).
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An alternative inverse Gaussian distribution

Mathematics and Computers in Simulation, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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