Results 31 to 40 of about 84,899 (205)

Interaction between Yarkovsky force and mean-motion resonances: Some specific properties [PDF]

open access: yesSerbian 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.
doaj   +1 more source

evgam: An R Package for Generalized Additive Extreme Value Models

open access: yesJournal 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
doaj   +1 more source

Induced Seismicity Completeness Analysis for Improved Data Mining

open access: yesFrontiers 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
doaj   +1 more source

Forecasting Value at Risk and Expected Shortfall Using a Semiparametric Approach Based on the Asymmetric Laplace Distribution

open access: yes, 2019
Value at Risk (VaR) forecasts can be produced from conditional autoregressive VaR models, estimated using quantile regression. Quantile modeling avoids a distributional assumption, and allows the dynamics of the quantiles to differ for each probability ...
James W. Taylor
semanticscholar   +1 more source

Lightweight Network with Variable Asymmetric Rebalancing Strategy for Small and Imbalanced Fault Diagnosis

open access: yesMachines, 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
doaj   +1 more source

A More Flexible Asymmetric Exponential Modification of the Laplace Distribution with Applications for Chemical Concentration and Environment Data

open access: yesMathematics, 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
doaj   +1 more source

On a jump-diffusion process driven by the asymmetric Laplace distribution for stock price models

open access: yes, 2021
In this paper, a generalized jump-diffusion process driven by the Asymmetric Laplace (AL) Distribution for stock price modeling was proposed. The probability density function was derived for the dynamics of the log-returns when the random process of the ...
M. Adeosun, O. Ugbebor
semanticscholar   +1 more source

Comparison of Estimates Using L and TL Moments and Other Robust Characteristics of Distributional Shape and Tail Heaviness

open access: yesRevstat 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
doaj   +1 more source

A Bayesian Variable Selection Method for Spatial Autoregressive Quantile Models

open access: yesMathematics, 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
doaj   +1 more source

Modeling Length of Hospital Stay for Patients With COVID-19 in West Sumatra Using Quantile Regression Approach

open access: yesCauchy: 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
doaj   +1 more source

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