In science, business, and policymaking -- anywhere data are used in prediction -- two sorts of problems requiring very different methods of analysis often arise

This book is intended for anyone, regardless of discipline, who is interested in the use of statistical methods to help obtain scientific explanations or to pre

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is

Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contribut