Results 31 to 40 of about 29,960 (243)
Do maternal health problems influence child's worrying status? Evidence from the British Cohort Study [PDF]
, 2016 Conventional methods apply symmetric prior distributions such as a normal distribution or a Laplace distribution for regression coefficients, which may be suitable for median regression and exhibit no robustness to outliers. This work develops a quantile
Dai X. +8 more
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Brain Sciences, 2022 Measurements of response inhibition components of reactive inhibition and proactive inhibition within the stop-signal paradigm have been of particular interest to researchers since the 1980s.
Mohsen Soltanifar +4 more
doaj +1 more source
Shaky Student Growth? A Comparison of Robust Bayesian Learning Progress Estimation Methods
Journal of Intelligence, 2022 Monitoring the progress of student learning is an important part of teachers’ data-based decision making. One such tool that can equip teachers with information about students’ learning progress throughout the school year and thus facilitate monitoring ...
Boris Forthmann +2 more
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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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Penalized flexible Bayesian quantile regression [PDF]
, 2012 Copyright © 2012 SciResThis article has been made available through the Brunel Open Access Publishing Fund.The selection of predictors plays a crucial role in building a multiple regression model. Indeed, the choice of a suitable subset of predictors can
Alhamzawi, R, Alkenani, A, Yu, K
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Which quantile is the most informative? Maximum likelihood, maximum entropy and quantile regression [PDF]
, 2010 This paper studies the connections among quantile regression, the asymmetric Laplace distribution, maximum likelihood and maximum entropy. We show that the maximum likelihood problem is equivalent to the solution of a maximum entropy problem where we ...
Bera, A. K. +3 more
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Analysis of wealth inequality with a random money transfer model
RUDN Journal of Economics, 2018 Increasing gap in wealth distribution is among the key issues that have been discussed worldwide in recent years. In this paper, we use the money transfer model to explain the formation of wealth distribution, by imposing two types of debt constraints ...
Chen Siyan +3 more
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Bayesian Regularized Quantile Regression Analysis Based on Asymmetric Laplace Distribution
Journal of Applied Mathematics and Physics, 2020 In recent years, variable selection based on penalty likelihood methods has aroused great concern. Based on the Gibbs sampling algorithm of asymmetric Laplace distribution, this paper considers the quantile regression with adaptive Lasso and Lasso penalty from a Bayesian point of view.
Qiaoqiao Tang +2 more
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MathematicsThis study analyzes the volatility of Bitcoin using stochastic volatility models fitted to one-minute transaction data for the BTC/USDT pair between 1 April 2023, and 31 March 2024.
Makoto Nakakita +2 more
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Bayesian Quantile Regression for Single-Index Models
, 2011 Using an asymmetric Laplace distribution, which provides a mechanism for Bayesian inference of quantile regression models, we develop a fully Bayesian approach to fitting single-index models in conditional quantile regression.
Gramacy, Robert B. +2 more
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