Discovering Causal Structure
eBook - PDF

Discovering Causal Structure

Artificial Intelligence, Philosophy of Science, and Statistical Modeling

  1. 412 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Discovering Causal Structure

Artificial Intelligence, Philosophy of Science, and Statistical Modeling

About this book

Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling provides information pertinent to the fundamental aspects of a computer program called TETRAD. This book discusses the version of the TETRAD program, which is designed to assist in the search for causal explanations of statistical data. or alternative models. This text then examines the notion of applying artificial intelligence methods to problems of statistical model specification. Other chapters consider how the TETRAD program can help to find god alternative models where they exist, and how it can help detect the existence of important neglected variables. This book discusses as well the procedures for specifying a model or models to account for non-experimental or quasi-experimental data. The final chapter presents a description of the format of input files and a description of each command. This book is a valuable resource for social scientists and researchers.

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Yes, you can access Discovering Causal Structure by Clark Glymour,Richard Scheines,Peter Spirtes in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling
  3. Copyright Page
  4. Table of Contents
  5. Dedication
  6. About This Book
  7. Foreword
  8. Acknowledgments
  9. PART I: Artificial Intelligence and Nonexperimental Science
  10. PART II: The TETRAD Program
  11. Part III: Using TETRAD, EQS and LISREL
  12. Appendix : The Grammar of the Input
  13. About the Authors
  14. References
  15. Index