Non-crossing nonparametric estimates of quantile curves [PDF]
--Quantile estimation , conditional distribution , local linear estimate , Nadaraya Watson estimate , crossing quantile ...
Volgushev, Stanislav, Dette, Holger
core
Modeling insurance claims using Bayesian nonparametric regression. [PDF]
PLoS OneShams M, Ghosh K.
europepmc +1 more source
Conditional Spatial Quantile: Characterization and Nonparametric Estimation [PDF]
Conditional quantiles are required in various economic, biomedical or industrial problems. Lack of objective basis for ordering multivariate observations is a major problem in extending the notion of quantiles or conditional quantiles (also called ...
Mohamed CHAOUCH (IMB, Université de Bourgogne) +2 more
core
First-passage-based boundary estimation in functional data. [PDF]
PLoS OneKuzu AT, Celik N.
europepmc +1 more source
Applying regression quantiles to farm efficiency estimation [PDF]
This article is concerned with the methodological question of frontier production functions estimation for agriculture, and the appropriateness of regression quantiles, as a useful semi-parametric approach.
Nitsi, Elisavet I., Kaditi, Eleni A.
core +1 more source
Higher plant seed container germination success predicted by smart farming optical RGB approach. [PDF]
Sci RepNovikova TP +3 more
europepmc +1 more source
Quantile regression methods for recursive structural equation models [PDF]
Two classes of quantile regression estimation methods for the recursive structural equation models of Chesher (2003) are investigated. A class of weighted average derivative estimators based directly on the identification strategy of Chesher is ...
Roger Koenker, Lingjie Ma
core
Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure [PDF]
Quantile regression(QR) fits a linear model for conditional quantiles, just as ordinary least squares (OLS) fits a linear model for conditional means. An attractive feature of OLS is that it gives the minimum mean square error linear approximation to the
Victor Chernozhukov +2 more
core
Online Quantile Regression for Nonparametric Additive Models
This paper introduces a projected functional gradient descent algorithm (P-FGD) for training nonparametric additive quantile regression models in online settings. This algorithm extends the functional stochastic gradient descent framework to the pinball loss.
openaire +2 more sources
Urinary volatile organic compounds and stroke risk: A cross-sectional analysis of NHANES data. [PDF]
Medicine (Baltimore)Liu H, Zhu X.
europepmc +1 more source