Journal of Hydrometeorology, Vol. 17, No. 6 (June 2016), pp. 1869-1883 (15 pages) ABSTRACT Classical regression models are widely used in hydrological regional frequency analysis (RFA) in order to ...

Bayesian inference provides a flexible way of combining data with prior information. However, quantile regression is not equipped with a parametric likelihood, and therefore, Bayesian inference for ...

预测不确定性量化在数据驱动决策过程中具有关键作用。无论是评估医疗干预的风险概率还是预测金融市场的价格波动范围，我们常需要构建预测区间——即以特定置信度包含目标真值的概率区间。 分位数回归(Quantile Regression, QR)作为一种传统统计方法，长期 ...

Bayesian quantile regression and statistical modelling represent a growing paradigm in contemporary data analysis, extending conventional regression by estimating various conditional quantiles rather ...