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Simulation Study The Using of Bayesian Quantile Regression in Nonnormal Error
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2018 The purposes of this paper is to introduce the ability of the Bayesian quantile regression method in overcoming the problem of the nonnormal errors using asymmetric laplace distribution on simulation study.
Catrin Muharisa +2 more
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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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evgam: An R Package for Generalized Additive Extreme Value Models
Journal of Statistical Software, 2022 This article introduces the R package evgam. The package provides functions for fitting extreme value distributions. These include the generalized extreme value and generalized Pareto distributions.
Benjamin D. Youngman
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Quantile regression for longitudinal data using the asymmetric Laplace distribution [PDF]
Biostatistics, 2006 In longitudinal studies, measurements of the same individuals are taken repeatedly through time. Often, the primary goal is to characterize the change in response over time and the factors that influence change. Factors can affect not only the location but also more generally the shape of the distribution of the response over time.
GERACI M, BOTTAI M
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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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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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2D Problem for a Long Cylinder in the Fractional Theory of Thermoelasticity
Latin American Journal of Solids and StructuresIn this manuscript, we solve an asymmetric 2D problem for a long cylinder. The surface is assumed to be traction free and subjected to an asymmetric temperature distribution.
Hany H. Sherief, W. E. Raslan
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