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Quantile

Division of a distribution into equal, ordered subgroups; a set of 'cut points' that divide a sample of data into groups containing (as far as… 
National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Quantile Aggregation of Density Forecasts
Quantile aggregation (or 'Vincentization') is a simple and intuitive way of combining probability distributions, originally… 
Highly Cited
2014
Highly Cited
2014
Is the Motherhood Penalty Larger for Low-Wage Women? A Comment on Quantile Regression
In this comment, we offer a nontechnical discussion of conventional (conditional) multivariate quantile regression, with an… 
Highly Cited
2010
Highly Cited
2010
Estimation of predictive hydrological uncertainty using quantile regression: examples from the national flood forecasting system (England and Wales)
In this paper, a technique is presented for assessing the predictive uncertainty of rainfall-runoff and hydraulic forecasts. The… 
Highly Cited
2010
Highly Cited
2010
A Bayesian Nonparametric Approach to Inference for Quantile Regression
We develop a Bayesian method for nonparametric model–based quantile regression. The approach involves flexible Dirichlet process… 
Highly Cited
2010
Highly Cited
2010
Bayesian Quantile Regression for Longitudinal Studies with Nonignorable Missing Data
Summary We study quantile regression (QR) for longitudinal measurements with nonignorable intermittent missing data and dropout… 
Highly Cited
2009
Highly Cited
2009
Conditional Quantile Estimation for Generalized Autoregressive Conditional Heteroscedasticity Models
Conditional quantile estimation is an essential ingredient in modern risk management. Although generalized autoregressive… 
Highly Cited
2009
Highly Cited
2009
On the calibration of hydrological models in ungauged basins: A framework for integrating hard and soft hydrological information
This paper presents a calibration framework based on the generalized likelihood uncertainty estimation (GLUE) that can be used to… 
Highly Cited
2008
Highly Cited
2008
Using Exponentially Weighted Quantile Regression to Estimate Value at Risk and Expected Shortfall
We propose exponentially weighted quantile regression (EWQR) for estimating time-varying quantiles. The EWQR cost function can be… 
Highly Cited
2006
Highly Cited
2006
Nonparametric Instrumental Variables Estimation of a Quantile Regression Model
We consider nonparametric estimation of a regression function that is identified by requiring a specified quantile of the… 
Highly Cited
2004
Highly Cited
2004
SMOOTHED EMPIRICAL LIKELIHOOD METHODS FOR QUANTILE REGRESSION MODELS
This paper considers an empirical likelihood method to estimate the parameters of the quantile regression (QR) models and to… 
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