Results 51 to 60 of about 3,431,698 (356)
Journal of Economy Culture and Society, 2021 This study comparatively analyzes wage inequality in the Turkish labor force by estimating the generalized Mincer wage equation with quantile regression methods using the 2018 Turkish Household Budget Survey data.
Ebru Çağlayan Akay +1 more
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Bayesian adaptive lasso quantile regression [PDF]
, 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.
Al-Hamzawi, Rahim +2 more
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Penalized single-index quantile regression [PDF]
, 2013 This article is made available through the Brunel Open Access Publishing Fund. Copyright for this article is retained by the author(s), with first publication rights granted to the journal.
Yu, K
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Prediction method of coal calorific value based on quantile regression
Gong-kuang zidonghua, 2022 At present, the traditional linear regression model is mainly used to predict the calorific value of coal. But it is difficult to express the complex relationship between independent variables and dependent variables.
ZHAO Xianzhi, CHEN Junlin
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Environmental science and pollution research international, 2021 Continuous economic growth and the rise in energy consumption are linked with environmental pollution. Demand for health care expenditure increased after the COVID-19 pandemic.
F. Bilgili +4 more
semanticscholar +1 more source
Bayesian quantile semiparametric mixed-effects double regression models
Statistical Theory and Related Fields, 2021 Semiparametric mixed-effects double regression models have been used for analysis of longitudinal data in a variety of applications, as they allow researchers to jointly model the mean and variance of the mixed-effects as a function of predictors ...
Duo Zhang +3 more
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, 2014 A guide to the implementation and interpretation of Quantile Regression models. This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods. The main focus of this book is to provide the reader with a comprehensive description of the main issues ...
Davino, Cristina +2 more
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, 2021 With the growing pressure from the adverse impact of environmental pollution and climate change, the deployment of renewable sources is becoming one of the economic priorities for governments worldwide.
F. Belaîd, Ahmed H. Elsayed, Anis Omri
semanticscholar +1 more source
ReModels: Quantile Regression Averaging models
SoftwareXElectricity price forecasts are essential for making informed business decisions within the electricity markets. Probabilistic forecasts, which provide a range of possible future prices rather than a single estimate, are particularly valuable for ...
Grzegorz Zakrzewski +3 more
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Statistics and ComputingAbstractWe introduce quantile ratio regression. Our proposed model assumes that the ratio of two arbitrary quantiles of a continuous response distribution is a function of a linear predictor. Thanks to basic quantile properties, estimation can be carried out on the scale of either the response or the link function.
Alessio Farcomeni, Marco Geraci
openaire +4 more sources