2 citations · 2 across the 3 of their papers we have counts for
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stat.AP2018
Quantile contours and allometric modelling for risk classification of abnormal ratios with an application to asymmetric growth-restriction in preterm infants
Marco Geraci, Nansi S. Boghossian, Alessio Farcomeni +1
We develop an approach to risk classification based on quantile contours and allometric modelling of multivariate anthropometric measurements. We propose the definition of allometr…
stat.ME2018
Letter to the Editor
Marco Geraci
Galarza, Lachos and Bandyopadhyay (2017) have recently proposed a method of estimating linear quantile mixed models (Geraci and Bottai, 2014) based on a Monte Carlo EM algorithm. T…
stat.ME2018
Additive quantile regression for clustered data with an application to children's physical activity
Marco Geraci
Additive models are flexible regression tools that handle linear as well as nonlinear terms. The latter are typically modelled via smoothing splines. Additive mixed models extend a…