Statistical Causal Inference and Applications to Genetics

July 25, 2016 - August 19, 2016

entre de recherches mathématiques Université de Montréal Pavillon André-Aisenstadt 2920, Chemin de la tour, 5th floor Montréal (Québec) H3T 1J4 CANADA

We announce an exciting interdisciplinary workshop as part of a month long research program on causal inference in genetics. Many of the recent breakthroughs in high-dimensional statistics have been driven by problems in genetics, especially by the difficulties associated with inference where the number of covariates (such as SNPs) massively exceeds the number of individual samples. Significant progress towards attacking such problems has been achieved in recent years through methods based on regularization, sparsity, and control of false discovery rates.