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.
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