Using Genetics-based Instrumental Variable methods for causal inference in public health and drug development
By Jack Bowden
From robust tests to robust Bayes-like posterior distribution
By Yannick Baraud
An introduction to conformal prediction and distribution-free inference
By Rina Foygel Barber
Bayesian causal inference: a potential outcome perspective with applications to intermediate variables
By Fabrizia Mealli
Merging rate of opinions via optimal transport on random measures
By Marta Catalano