Zhengyu Zhang, LOCAL PARTITIONED QUANTILE REGRESSION, Econometric Theory, Vol. 33, No. 5 (October 2017), pp. 1081-1120 ...

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 ...

They are variations of linear regression (and therefore not very powerful) and are extremely difficult to train because they require linear programming (and therefore very complex). However, a ...

Bayesian Quantile Regression and Statistical Modelling Publication Trend The graph below shows the total number of publications each year in Bayesian Quantile Regression and Statistical Modelling.

Scikit-learn, the popular Python-based machine learning (ML) library, has released version 1.0. Although the library has been stable for some time, and the release contains no breaking changes ...

In this paper, we suggest to use quantile regression for survival data to quantify the long-term benefit of immunotherapy. Our motivation is that this approach is not trial-specific and provides ...