Results 21 to 30 of about 29,960 (243)
Higher-order Laplace equations and hyper-Cauchy distributions [PDF]
, 2013 In this paper we introduce new distributions which are solutions of higher-order Laplace equations. It is proved that their densities can be obtained by folding and symmetrizing Cauchy distributions.
D'Ovidio, Mirko, Orsingher, Enzo
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Interaction between Yarkovsky force and mean-motion resonances: Some specific properties [PDF]
Serbian Astronomical Journal, 2016 Recently, we analyzed the role of mean-motion resonances in semi-major axis mobility of asteroids, and established a functional relationship that describes the dependence of the average time spent inside the resonance on the strength of this ...
Milić-Žitnik I.
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Induced Seismicity Completeness Analysis for Improved Data Mining
Frontiers in Earth Science, 2021 The study of induced seismicity at sites of fluid injection is paramount to assess the seismic response of the earth’s crust and to mitigate the potential seismic risk. However statistical analysis is limited to events above the completeness magnitude mc,
Arnaud Mignan, Arnaud Mignan
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Asymmetric Laplace Distribution Models for Financial Data: VaR and CVaR
Symmetry, 2022 In the field of financial risk measurement, Asymmetric Laplace (AL) laws are used. The assumption of normalcy is used in traditional approaches for calculating financial risk. Asymmetric Laplace distribution, on the other hand, reveals the properties of empirical financial data sets much better than the normal model by leptokurtosis and skewness ...
Huiting Jing, Yang Liu, Jinghua Zhao
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Bayesian analysis of a Tobit quantile regression model [PDF]
, 2007 This paper develops a Bayesian framework for Tobit quantile regression. Our approach is organized around a likelihood function that is based on the asymmetric Laplace dis- tribution, a choice that turns out to be natural in this context.
Stander, J, Yu, K
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Machines, 2022 Deep learning-related technologies have achieved remarkable success in the field of intelligent fault diagnosis. Nevertheless, the traditional intelligent diagnosis methods are often based on the premise of sufficient annotation signals and balanced ...
Biao Chen +4 more
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Mathematics, 2022 In this work, a new family of distributions based on the Laplace distribution is introduced. We define this new family by its stochastic representation as the sum of two independent random variables, one with a Laplace distribution and the other with an ...
Jimmy Reyes +3 more
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Revstat Statistical Journal, 2023 Correct identification of a probability distribution is crucial in many areas of parametric statistics, inappropriate choice of the model can result in misleading or even incorrect decisions.
Ivana Malá +2 more
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A Bayesian Variable Selection Method for Spatial Autoregressive Quantile Models
Mathematics, 2023 In this paper, a Bayesian variable selection method for spatial autoregressive (SAR) quantile models is proposed on the basis of spike and slab prior for regression parameters.
Yuanying Zhao, Dengke Xu
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Cauchy: Jurnal Matematika Murni dan Aplikasi, 2021 This study aims to construct the model for the length of hospital stay for patients with COVID-19 using quantile regression and Bayesian quantile approaches.
Ferra Yanuar +4 more
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