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Pediatric Reference and Optimal Curves for Hemoglobin.

JAMA Netw Open
Bijelic V, Momoli F, Liebman M, Potter BK, Borkhoff CM, Birken CS, Maguire JL, Parkin PC, Hamid JS.   +8 more
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Quantile regression: a nonparametric approach

Computational Statistics and Data Analysis, 1988
Abstract Regression on any p -th quantile is considered through nonparametric modelling. The nonparametric technique used is moving parabolic fit which is known to be adaptative and to reduce bias in the usual mean regression. The quantile problem reduces to solving weighted linear regression in L 1 norm at each x -point and the iteratively ...
Pascal Sarda
exaly   +2 more sources

Nonparametric regression M-quantiles

Statistics and Probability Letters, 1989
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jaromír Antoch, P Janssen
exaly   +3 more sources

A Bayesian Nonparametric Approach to Inference for Quantile Regression

Journal of Business and Economic Statistics, 2010
We develop a Bayesian method for nonparametric model–based quantile regression. The approach involves flexible Dirichlet process mixture models for the joint distribution of the response and the covariates, with posterior inference for different quantile curves emerging from the conditional response distribution given the covariates.
Athanasios Kottas
exaly   +3 more sources

Nonparametric inference on smoothed quantile regression process

Computational Statistics & Data Analysis, 2023
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Meiling Hao, Yuanyuan Lin, Guohao Shen, Wen Su 0002   +3 more
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On nonparametric regression estimators based on regression quantiles

Communications in Statistics - Theory and Methods, 1987
In the ciassical regression model Yi=h(xi) + ∊ i, i=1,…,n, Cheng (1984) introduced linear combinations of regression quantiles as a new class of estimators for the unknown regression function h(x). The asymptotic properties studied in Cheng (1984) are reconsidered.
P Janssen, N Veraverbeke
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Nonparametric quantile scalar-on-image regression

Computational Statistics & Data Analysis
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chuchu Wang, Xinyuan Song 0001
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Variational Inference for Nonparametric Bayesian Quantile Regression

Proceedings of the AAAI Conference on Artificial Intelligence, 2015
Quantile regression deals with the problem of computing robust estimators when the conditional mean and standard deviation of the predicted function are inadequate to capture its variability. The technique has an extensive list of applications, including health sciences, ecology and finance.
Sachinthaka Abeywardana, Fabio Ramos 0001   +1 more
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