Quantiles for Counts

363 citations recorded by the source corpus.

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Modeling Traffic Incident Duration Using Quantile Regression (2016, methodology): “Machado and Silva successfully applied quantile regression to health care through a jittering procedure (32).”
U.S. Daily Temperatures: The Meaning of Extremes in the Context of Nonnormality (2014, background): “Similarly,Donat andAlexander (2012) suggested that the distribution of temperature has become more skewed in recent decades, but it may be that the skew emerges from aggregating across distributions with differing mean values (Karl and Katz 2012; Katz et al. 2013).”
Multivariate Negative Binomial Models for Insurance Claim Counts (2014, methodology): “…in the literature: the semi-parametric approach based on pseudolikelihood method (Nelder and Wedderburn (1972), Gourieroux et al. (1984)), the parametric count regression models (Hausman et al. (1984)), and the quantile regression that is a non-parametric approach (Machado and Silva (2005)).”
Linear quantile mixed models (2013, methodology): “See for example Lee and Neocleous (2010) for an application of Bayesian quantile regression (Yu and Moyeed 2001) to environmental epidemiology using the results of Machado and Santos Silva (2005).”