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 Sozialwissenschaften & Essays in der Soziologie. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2014

ISBN

9781483265797

Topic

Sozialwissenschaften

Subtopic

Essays in der Soziologie

Front Cover
Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling
Copyright Page
Table of Contents
Dedication
About This Book
Foreword
Acknowledgments
PART I: Artificial Intelligence and Nonexperimental Science
PART II: The TETRAD Program
Part III: Using TETRAD, EQS and LISREL
Appendix : The Grammar of the Input
About the Authors
References
Index