Modelling of South African Hypertension: Comparative Analysis of the Classical and Bayesian Quantile Regression Approaches [PDF]
Inquiry: The Journal of Health Care Organization, Provision, and Financing, 2022 Hypertension has become a major public health challenge and a crucial area of research due to its high prevalence across the world including the sub-Saharan Africa.
Anesu Gelfand Kuhudzai PhD candidate +3 more
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Power Prior Elicitation in Bayesian Quantile Regression [PDF]
Journal of Probability and Statistics, 2011 We address a quantile dependent prior for Bayesian quantile regression. We extend the idea of the power prior distribution in Bayesian quantile regression by employing the likelihood function that is based on a location-scale mixture representation of ...
Rahim Alhamzawi, Keming Yu
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Risk factors based vessel-specific prediction for stages of coronary artery disease using Bayesian quantile regression machine learning method: Results from the PARADIGM registry. [PDF]
Clin Cardiol, 2023 The recently introduced Bayesian quantile regression (BQR) machine‐learning method enables comprehensive analyzing the relationship among complex clinical variables.
Park HB +32 more
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Horseshoe prior Bayesian quantile regression [PDF]
Journal of the Royal Statistical Society Series C: Applied Statistics, 2023 Abstract This paper extends the horseshoe prior to Bayesian quantile regression and provides a fast sampling algorithm for computation in high dimensions. Compared to alternative shrinkage priors, our method yields better performance in coefficient bias and forecast error, especially in sparse designs and in estimating extreme quantiles.
Kohns, D, Szendrei, Tibor
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Bayesian adaptive Lasso quantile regression [PDF]
Statistical Modelling, 2012 Recently, variable selection by penalized likelihood has attracted much research interest. In this paper, we propose adaptive Lasso quantile regression (BALQR) from a Bayesian perspective. The method extends the Bayesian Lasso quantile regression by allowing different penalization parameters for different regression coefficients.
R. ALHAMZAWI, K. YU, D. F. BENOIT
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How Does Industrial Waste Gas Emission Affect Health Care Expenditure in Different Regions of China: An Application of Bayesian Quantile Regression. [PDF]
Int J Environ Res Public Health, 2019 Industrial development has brought about not only rapid economic growth, but also serious environmental pollution in China, which has led to serious health problems and heavy economic burdens on healthcare.
Xu X, Xu Z, Chen L, Li C.
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Analysis of human capital effects introducing Bayesian quantile regression in the process of industrial structural upgrading. [PDF]
PLoS OneIn recent years, with the continuous evolution of the global economy and the adjustment of industrial structures, the understanding of the role played by human capital in the process of economic development has become particularly important.
Shi S, Wang X.
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Bayesian quantile regression for longitudinal count data [PDF]
Journal of Statistical Computation and Simulation, 2022 This work introduces Bayesian quantile regression modeling framework for the analysis of longitudinal count data. In this model, the response variable is not continuous and hence an artificial smoothing of counts is incorporated. The Bayesian implementation utilizes the normal-exponential mixture representation of the asymmetric Laplace distribution ...
Sanket R. Jantre
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Penalized Flexible Bayesian Quantile Regression [PDF]
Applied Mathematics, 2012 The selection of predictors plays a crucial role in building a multiple regression model. Indeed, the choice of a suitable subset of predictors can help to improve prediction accuracy and interpretation. In this paper, we propose a flexible Bayesian Lasso and adaptive Lasso quantile regression by introducing a hierarchical model framework approach to ...
Yu, K, Alkenani, A, Alhamzawi, R
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Anomaly Detection in Health Insurance Claims Using Bayesian Quantile Regression
International Journal of Mathematics and Mathematical Sciences, 2021 Research has shown that current health expenditure in most countries, especially in sub-Saharan Africa, is inadequate and unsustainable. Yet, fraud, abuse, and waste in health insurance claims by service providers and subscribers threaten the delivery of
Ezekiel N. N. Nortey +4 more
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