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.
- National Poetry Month
- Mine a Good Book
- 250th Anniversary of the American Revolution
- Earth Day Reads
- 2025 Libby Book Award Winners and Runners Up
- How Does Your Garden Grow?
- Always Available Ebooks: Kids Classics
- Always Available Ebooks: Classic Fiction
- Always Available Ebooks: Classic Nonfiction
- Great reads without the wait!
- Adapted for Young Readers
- See all ebooks collections
- National Poetry Month
- Mine a Good Book
- 250th Anniversary of the American Revolution
- Earth Day Reads
- 2025 Libby Book Award Winners and Runners Up
- How Does Your Garden Grow?
- Always Available Audiobooks
- Great reads without the wait!
- Everyone Reads: Spanish Titles for Young Readers
- Adapted for Young Readers
- See all audiobooks collections