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Composite quantile regression neural network with applications
Elsevier | 2017|Keywords: Quantile regression, Quantile regression neural network, Composite quantile regression -
Forecasting Value at Risk and Expected Shortfall Using a Semiparametric Approach Based on the Asymmetric Laplace Distribution
Taylor & Francis Verlag | 2019|Keywords: Quantile regression -
A note on the efficiency of composite quantile regression
Taylor & Francis Verlag | 2016|Keywords: weighted composite quantile regression, quantile regression -
Pyramid Quantile Regression
Taylor & Francis Verlag | 2019|Keywords: Extremal quantile regression, Simultaneous quantile regression -
Determinants of dividend payout of Indian manufacturing companies
A quantile regression approachEmerald Group Publishing | 2018|Keywords: Quantile regression -
Identifying the safety factors over traffic signs in state roads using a panel quantile regression approach
Taylor & Francis Verlag | 2018|Keywords: panel quantile regression model, quantile regression -
Adaptive composite quantile regressions and their asymptotic relative efficiency
Taylor & Francis Verlag | 2018|Keywords: composite quantile regression, quantile regression -
The evolution of renewable energy and its impact on carbon reduction in China
Elsevier | 2021|Keywords: Quantile regression -
Hydrological post-processing using stacked generalization of quantile regression algorithms: Large-scale application over CONUS
Elsevier | 2019|Keywords: Quantile regression, Quantile regression forests -
HIGHLIGHTING DIFFERENCES BETWEEN CONDITIONAL AND UNCONDITIONAL QUANTILE REGRESSION APPROACHES THROUGH AN APPLICATION TO ASSESS MEDICATION ADHERENCE
Wiley | 2013|Keywords: unconditional quantile regression, conditional quantile regression -
Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood
Wiley | 2016|Keywords: quantile regression -
GEFCom2014: Probabilistic solar and wind power forecasting using a generalized additive tree ensemble approach
Elsevier | 2016|Keywords: Quantile regression, Quantile regression forest -
Bayesian composite Tobit quantile regression
Taylor & Francis Verlag | 2018|Keywords: Composite quantile regression, Tobit quantile regression -
Bayesian Elastic Net Tobit Quantile Regression
Taylor & Francis Verlag | 2016|Keywords: Bayesian quantile regression, Tobit quantile regression -
A Bayesian Binary reciprocal LASSO quantile regression (with practical application)
Free accessDOAJ | 2023|Keywords: Quantile regression, binary quantile regression. -
Is there a pattern in how COVID-19 has affected Australia’s stock returns?
Taylor & Francis Verlag | 2022|Keywords: quantile regression -
Composite quantile regression for correlated data
Elsevier | 2016|Keywords: Composite quantile regression, Weighted composite quantile regression -
Computing electricity spot price prediction intervals using quantile regression and forecast averaging
Online Contents | 2014|Keywords: Quantile regression averaging, Quantile regression -
The impact of oil price volatility on stock markets: Evidences from oil-importing countries
Elsevier | 2021|Keywords: Quantile regression, Quantile-on-quantile regression -
Random gradient boosting for predicting conditional quantiles
Taylor & Francis Verlag | 2015|Keywords: quantile regression, quantile regression forests
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