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Letter to the Editor.

Marco Geraci
Published in: Statistics and its interface (2018)
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. They assert that their procedure represents an improvement over the numerical quadrature and non-smooth optimization approach implemented by Geraci (2014). The objective of this note is to demonstrate that this claim is incorrect. We also point out several inaccuracies and shortcomings in their paper which affect other results and conclusions that can be drawn.
Keyphrases
  • monte carlo
  • machine learning
  • deep learning
  • neural network
  • minimally invasive