Many
of the concepts and terminology surrounding modern causal inference can
be quite intimidating to the novice. Judea Pearl presents a book ideal
for beginners in statistics, providing a comprehensive introduction to
the field of causality. Examples from classical statistics are presented
throughout to demonstrate the need for causality in resolving
decision-making dilemmas posed by data. Causal methods are also compared
to traditional statistical methods, whilst questions are provided at
the end of each section to aid student learning.
