Quantiles for counts

José A.F. Machado, J. M.C. Santos Silva

Research output: Contribution to journal › Article

139 Citations (Scopus)

Abstract

This article studies the estimation of conditional quantiles of counts. Given the discreteness of the data, some smoothness must be artificially imposed on the problem. We show that it is possible to smooth the data in a way that allows inference to be performed using standard quantile regression techniques. The performance and implementation of the estimators are illustrated by simulations and an application.

Original languageEnglish
Pages (from-to)1226-1237
Number of pages12
JournalJournal of the American Statistical Association
Volume100
Issue number472
DOIs
Publication statusPublished - 1 Dec 2005

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Quantile
Count
Conditional Quantiles
Quantile Regression
Smoothness
Estimator
Simulation
Conditional quantiles
Quantile regression
Inference
Standards

Keywords

  • Jittering
  • Quantile regression
  • Smoothing

Cite this

Machado, José A.F. ; Santos Silva, J. M.C. / Quantiles for counts. In: Journal of the American Statistical Association. 2005 ; Vol. 100, No. 472. pp. 1226-1237.
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Machado, JAF & Santos Silva, JMC 2005, 'Quantiles for counts', Journal of the American Statistical Association, vol. 100, no. 472, pp. 1226-1237. https://doi.org/10.1198/016214505000000330

Quantiles for counts. / Machado, José A.F.; Santos Silva, J. M.C.

In: Journal of the American Statistical Association, Vol. 100, No. 472, 01.12.2005, p. 1226-1237.

Research output: Contribution to journal › Article

TY - JOUR

T1 - Quantiles for counts

AU - Machado, José A.F.

AU - Santos Silva, J. M.C.

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N2 - This article studies the estimation of conditional quantiles of counts. Given the discreteness of the data, some smoothness must be artificially imposed on the problem. We show that it is possible to smooth the data in a way that allows inference to be performed using standard quantile regression techniques. The performance and implementation of the estimators are illustrated by simulations and an application.

AB - This article studies the estimation of conditional quantiles of counts. Given the discreteness of the data, some smoothness must be artificially imposed on the problem. We show that it is possible to smooth the data in a way that allows inference to be performed using standard quantile regression techniques. The performance and implementation of the estimators are illustrated by simulations and an application.

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KW - Smoothing

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Machado JAF, Santos Silva JMC. Quantiles for counts. Journal of the American Statistical Association. 2005 Dec 1;100(472):1226-1237. https://doi.org/10.1198/016214505000000330

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