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  1. 27 de jun. de 2024 · Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections and statistical associations.

  2. It is an exposition and analysis of causality. It is considered to have been instrumental in laying the foundations of the modern debate on causal inference in several fields including statistics, computer science and epidemiology. In this book, Pearl espouses the Structural Causal Model (SCM) that uses structural equation modeling.

    • Models, Reasoning, and Inference Second Edition
    • Commendation for the First Edition
    • Contents
    • Preface to the First Edition
    • Preface to the First Edition

    Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causal-ity has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philoso-phy, cognitive science, ...

    “Judea Pearl’s previous book, Probabilistic Reasoning in Intelligent Systems, was ar-guably the most influential book in Artificial Intelligence in the past decade, setting the stage for much of the current activity in probabilistic reasoning. In this book, Pearl turns his attention to causality, boldly arguing for the primacy of a notion long igno...

    Preface to the First Edition Preface to the Second Edition

    The central aim of many studies in the physical, behavioral, social, and biological sciences is the elucidation of cause–effect relationships among variables or events. However, the appropriate methodology for extracting such relationships from data – or even from the-ories – has been fiercely debated. The two fundamental questions of causality are...

    fundamental building blocks both of physical reality and of human understanding of that reality, and I regard probabilistic relationships as but the surface phenomena of the causal machinery that underlies and propels our understanding of the world. Accordingly, I see no greater impediment to scientific progress than the prevailing practice of focu...

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  3. 12 de nov. de 2009 · The Oxford Handbook of Causation provides an overview of topics related to causation, as well as the history of the causation debate from the ancient Greeks to the logical empiricists. Causation is a central topic in many areas of philosophy.

  4. Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections and statistical associations.

    • Hardcover
    • 2nd Edition
  5. Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science ...

  6. CAUSALITY, 2nd Edition, 2009. 1. Why I wrote this book. 2. Table of Contents. 3. Preface. 1st Edition. 2nd Edition. 4. Preview of text. Epilogue: The Art and Science of Cause and Effect. (from Causality, 2nd Edition) Important Topic: On the meaning of structural equations. (from Causality, Sections 5.3.2 - 5.4.1) 5. Reviews. 5.1 Preliminary Reviews