A runoff probability density prediction method based on B-spline quantile regression and kernel density estimation
type: Item
instance of: scholarly article
title: A runoff probability density prediction method based on B-spline quantile regression and kernel density estimation
zbMATH Open document ID: 1481.62019
author: Huiling Fan
author: Xiaohui Lei
author: Jinhong Wan
author: Yaoyao He
published in: Applied Mathematical Modelling
publication date: 2021-09-24T00:00:00Z
Mathematics Subject Classification ID: 62G07
Mathematics Subject Classification ID: 62G08
zbMATH DE Number: 7400390
zbMATH Keywords: runoff forecasting
zbMATH Keywords: B-spline quantile regression
zbMATH Keywords: probability density prediction
describes a project that uses: gamair
MaRDI profile type: Publication
full work available at URL: j.apm.2020.12.043
OpenAlex ID: W3119704083
cites work: Modeling and forecasting river flows by means of filtered Poisson processes
cites work: Prediction Intervals for Neural Networks via Nonlinear Regression
cites work: Regression Quantiles
cites work: Construction of beam elements considering von Kármán nonlinear strains using B-spline wavelet on the interval
cites work: A mixed formulation of B-spline and a new class of spherical Hankel shape functions for modeling elastostatic problems
cites work: Local Linear Additive Quantile Regression
cites work: Q3377936
cites work: Nonparametric statistical methods
cites work: Probabilistic Forecasts, Calibration and Sharpness
cites work: Strictly Proper Scoring Rules, Prediction, and Estimation
DOI: 10.1016/J.APM.2020.12.043
description: scientific article; zbMATH DE number 7400390