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Clustering of Gaussian distributions
2016 International Joint Conference on Neural Networks (IJCNN), 2016Clustering 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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The complex Double Gaussian distribution
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012We present the complex Double Gaussian distribution that describes the product of two independent, non-zero mean, complex Gaussian random variables, a doubly-infinite summation of terms. This distribution is useful in a wide array of problems. We discuss its application to blind TR detection systems by deriving the Neyman-Pearson optimal detector when ...
Nicholas O'Donoughue, José M. F. Moura
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On the Distribution of the Maximum of a Gaussian Process
Theory of Probability & Its Applications, 1987Translation from Teor. Veroyatn. Primen. 31, No.1, 134-142 (Russian) (1986; Zbl 0589.60036).
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Nearly Gaussian Distributions and Application
Communications in Statistics - Theory and Methods, 2010We consider the random variable X that is not Gaussian but for which X c , where c = (2k + 1)/(2j + 1) with k, j ∊ {0, 1,…}, is approximately Gaussian. A variable of this type is used to model the errors made by meteorologists when forecasting temperatures.
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Bernstein Gaussian Distributions on Groups
Theory of Probability & Its Applications, 1987See the review in Zbl 0604.60010.
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An alternative inverse Gaussian distribution
Mathematics and Computers in Simulation, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Continuity of Gaussian extreme distributions
Statistics & Probability LetterszbMATH Open Web Interface contents unavailable due to conflicting licenses.
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