High Dimensional

High Dimensional Undirected Graphical Models

Larry Wasserman's 'Normal Deviate' blog post on high-dimensional undirected graphical models — a rigorous but accessible treatment of the statistical theory for learning sparse graphs from data when the number of variables exceeds the sample size. Core to modern genomics and causal inference.