Results 1 to 10 of about 774,841 (215)
Tail Conditional Moments for Location-Scale Mixture of Elliptical Distributions
We present the general results on the univariate tail conditional moments for a location-scale mixture of elliptical distributions. Examples include the location-scale mixture of normal, location-scale mixture of Student’s t, location-scale mixture of ...
Xiangyu Han, Chuancun Yin
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A dynamic scale-mixture model of motion in natural scenes [PDF]
Some of the most important tasks of visual and motor systems involve estimating the motion of objects and tracking them over time. Such systems evolved to meet the behavioral needs of the organism in its natural environment and may therefore be adapted ...
Jared M Salisbury, Stephanie E Palmer
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Data with a multimodal pattern can be analyzed using a mixture model. In a mixture model, the most important step is the determination of the number of mixture components, because finding the correct number of mixture components will reduce the error of ...
Dwi Rantini, Nur Iriawan, Irhamah
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Scale Mixture of Gleser Distribution with an Application to Insurance Data
In this paper, the scale mixture of the Gleser (SMG) distribution is introduced. This new distribution is the product of a scale mixture between the Gleser (G) distribution and the Beta(a,1) distribution.
Neveka M. Olmos +2 more
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Quasi-Exponentiated Normal Distributions: Mixture Representations and Asymmetrization
In the paper, quasi-exponentiated normal distributions are introduced for any real power (exponent) no less than two. With natural exponents, the quasi-exponentiated normal distributions coincide with the distributions of the corresponding powers of ...
Victor Korolev, Alexander Zeifman
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Analytic and Asymptotic Properties of the Generalized Student and Generalized Lomax Distributions
Analytic and asymptotic properties of the generalized Student and generalized Lomax distributions are discussed, with the main focus on the representation of these distributions as scale mixtures of the laws that appear as limit distributions in ...
Victor Korolev
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Scale Mixture of Maxwell-Boltzmann Distribution
This paper presents a new distribution, the product of the mixture between Maxwell-Boltzmann and a particular case of the generalized gamma distributions.
Jaime S. Castillo +6 more
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AdamB: Decoupled Bayes by Backprop With Gaussian Scale Mixture Prior
Overfitting of neural networks to training data is one of the most significant problems in machine learning. Bayesian neural networks (BNNs) are known to be robust against overfitting owing to their ability to model parameter uncertainty.
Keigo Nishida, Makoto Taiji
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Some Properties of Univariate and Multivariate Exponential Power Distributions and Related Topics
In the paper, a survey of the main results concerning univariate and multivariate exponential power (EP) distributions is given, with main attention paid to mixture representations of these laws.
Victor Korolev
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Identifying Mixture Components From Large-Scale Keystroke Log Data
In a computer-based writing assessment, massive keystroke log data can provide real-time information on students’ writing behaviors during text production. This research aims to quantify the writing process from a cognitive standpoint.
Tingxuan Li
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