Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling provides information pertinent to the fundamental aspects

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

Designed to assist in the search of casual explanations of statistical datas.

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