Results 11 to 20 of about 55,851 (263)
Axioms, 2023 We consider five types of entropies for Gaussian distribution: Shannon, Rényi, generalized Rényi, Tsallis and Sharma–Mittal entropy, establishing their interrelations and their properties as the functions of parameters.
Anatoliy Malyarenko +3 more
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Gaussian approximation of general non-parametric posterior distributions [PDF]
Information and Inference: A Journal of the IMA, 2017 AbstractIn a general class of Bayesian non-parametric models, we prove that the posterior distribution can be asymptotically approximated by a Gaussian process (GP). Our results apply to non-parametric exponential family that contains both Gaussian and non-Gaussian regression and also hold for both efficient (root-$n$) and inefficient (non-root-$n ...
Shang, Zuofeng, Cheng, Guang
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Learning general halfspaces with general Massart noise under the Gaussian distribution
Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing, 2022 We study the problem of PAC learning halfspaces on $\mathbb{R}^d$ with Massart noise under the Gaussian distribution. In the Massart model, an adversary is allowed to flip the label of each point $\mathbf{x}$ with unknown probability $η(\mathbf{x}) \leq η$, for some parameter $η\in [0,1/2]$. The goal is to find a hypothesis with misclassification error
Diakonikolas, Ilias +4 more
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Austrian Journal of Statistics, 2016 Recently, a generalization of the Pearson differential equation has appeared in the literature, from which a vast majority of continuous probability density functions (pdf’s) can be generated, known as the generalized Pearson system of continuous ...
Mohammad Shakil +2 more
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The Prediction of the Maternal and Fetal Blood Lead Level via Generalized Linear Model [PDF]
المجلة العراقية للعلوم الاحصائية, 2009 Generalized linear models (GLMs) are generalization of the linear regression models, which allow fitting regression models to response variable that is non normal and follows a general exponential family.
Zakaria Y. AL-Jammal
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Improved Particle Filter for Non-Gaussian Forecasting-aided State Estimation
Journal of Modern Power Systems and Clean Energy, 2023 Gaussian assumptions of non-Gaussian noises hinder the improvement of state estimation accuracy. In this paper, an asymmetric generalized Gaussian distribution (AGGD), as a unified representation of various unimodal distributions, is applied to formulate
Lyuzerui Yuan +3 more
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A Generalized Gaussian Extension to the Rician Distribution for SAR Image Modeling [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 In this paper, we present a novel statistical model, $\textit{the generalized-Gaussian-Rician}$ (GG-Rician) distribution, for the characterization of synthetic aperture radar (SAR) images. Since accurate statistical models lead to better results in applications such as target tracking, classification, or despeckling, characterizing SAR images of ...
Oktay Karakus +2 more
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Journal of Statistical Theory and Applications (JSTA), 2020 In this article, a selection of Nakagami distribution is investigated. Some properties of the model with some plots of the density function are illustrated.
Mervat Mahdy, Dina Samir
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Frontiers in Signal Processing, 2023 Airborne forward-looking radar (AFLR) has been more and more impoatant due to its wide application in the military and civilian fields, such as automatic driving, sea surveillance, airport surveillance and guidance.
Hongmeng Chen +5 more
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Analytical properties of generalized Gaussian distributions [PDF]
Journal of Statistical Distributions and Applications, 2018 Journal of Statistical Distributions and Applications 2018 5 ...
Alex Dytso +3 more
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