Three discussions of the paper "sequential quasi-Monte Carlo sampling", by M. Gerber and N. Chopin
Julyan Arbel (University of Torino), Igor Prunster (University of, Torino), Christian P. Robert (Universite Paris-Dauphine), and Robin J. Ryder, (Universite Paris-Dauphine)
TL;DR
This document compiles three expert discussions on the paper 'sequential quasi-Monte Carlo sampling,' highlighting different perspectives and insights on the methodology presented by Gerber and Chopin.
Contribution
It provides diverse expert opinions and critical analyses of the original paper, enriching understanding of the sequential quasi-Monte Carlo sampling approach.
Findings
Highlights strengths and limitations of the method
Suggests potential improvements and applications
Provides critical perspectives on the methodology
Abstract
This is a collection of three written discussions of the paper "sequential quasi-Monte Carlo sampling" by M. Gerber and N. Chopin, following the presentation given before the Royal Statistical Society in London on December 10th, 2014.
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Taxonomy
TopicsBayesian Methods and Mixture Models · Mathematical Approximation and Integration · Statistical Methods and Inference