Product Description

Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence, business, epidemiology, social science and economics.

Product Details

• Amazon Sales Rank: #407263 in Books
• Published on: 2000-03-13
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 384 pages

Review
‘Without assuming much beyond elementary probability theory. Judea pearl’s book provides an attractive tour of recent work, in which he has played a central role, on causal models and causal reasoning. Due to his efforts, and that of a few others, a Renaissance in thinking and using causal concepts is taking place.’ Patrick Suppes, Center for the Study of Language and Information, Stanford University

‘Judea Pearl has come to statistics and causation with enthusiasm and creativity. his work is always thought provoking and worth careful study. This book proves to be no exception. Time and again I found myself disagreeing both with his assumptions and with his conclusions, but I was also fascinated by new insights into problems I thought I already understood well. This book illustrates the rich contributions Pearl has made to the statistical literature and to our collective understanding of models for causal reasoning.’ Stephen Fienberg, Maurice Falk University professor of Statistics and Social Science, Carnegie Mellon University

'The book is extremely well written, and while mathematically precise, provides a thought-provoking study of causality and its implications.' Computing Review

Customer Reviews

Academic
I was interested in this book from a business point of view, using the concepts in a financial risk environment. It's well written but a bit academic for what I wanted.