Book of Donmon Teith

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

This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts that must be undertaken in moving from traditional statistical

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

This brief presents four practical methods to effectively explore causal relationships, which are often used for explanation, prediction and decision making in