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… (More)
National Institutes of Health

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Highly Cited
2013
Highly Cited
2013
A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data
MOTIVATION The Illumina Infinium 450 k DNA Methylation Beadchip is a prime candidate technology for Epigenome-Wide Association… (More)
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Highly Cited
2013
Highly Cited
2013
Bayesian quantile regression for censored data.
In this paper we propose a semiparametric quantile regression model for censored survival data. Quantile regression permits… (More)
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Highly Cited
2009
Highly Cited
2009
LOCAL LINEAR QUANTILE REGRESSION WITH DEPENDENT CENSORED DATA
We consider the problem of nonparametrically estimating the conditional quantile function from censored dependent data. The… (More)
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Highly Cited
2008
Highly Cited
2008
Quantile Regression Redux
This vignette is a slightly modified version of Koenker (2008a). It was written in plain latex not Sweave, but all data and code… (More)
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Highly Cited
2007
Highly Cited
2007
Quantile regression for longitudinal data using the asymmetric Laplace distribution.
In longitudinal studies, measurements of the same individuals are taken repeatedly through time. Often, the primary goal is to… (More)
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Highly Cited
2006
Highly Cited
2006
Quantile regression methods for reference growth charts.
Estimation of reference growth curves for children's height and weight has traditionally relied on normal theory to construct… (More)
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Highly Cited
2005
Highly Cited
2005
COUNTERFACTUAL DECOMPOSITION OF CHANGES IN WAGE DISTRIBUTIONS USING QUANTILE REGRESSION
We propose a method to decompose the changes in the wage distribution over a period of time in several factors contributing to… (More)
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Highly Cited
2005
Highly Cited
2005
Quantile smoothing of array CGH data
MOTIVATION Plots of array Comparative Genomic Hybridization (CGH) data often show special patterns: stretches of constant level… (More)
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Highly Cited
2005
Highly Cited
2005
Quantile and Probability Curves Without Crossing
This paper proposes a method to address the longstanding problem of lack of monotonicity in estimation of conditional and… (More)
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Highly Cited
2004
Highly Cited
2004
Quantile Regression for Longitudinal Data
The penalized least squares interpretation of the classical random effects estimator suggests a possible way forward for quantile… (More)
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