Skip to main content

Discovering Causal Structure

Artificial Intelligence, Philosophy of Science, and Statistical Modeling

  • 1st Edition - May 10, 2014
  • Authors: Clark Glymour, Richard Scheines, Peter Spirtes
  • Language: English
  • Paperback ISBN:
    9 7 8 - 1 - 4 8 3 2 - 3 9 5 0 - 7
  • eBook ISBN:
    9 7 8 - 1 - 4 8 3 2 - 6 5 7 9 - 7

Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling provides information pertinent to the fundamental aspects of a computer… Read more

Discovering Causal Structure

Purchase options

LIMITED OFFER

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code needed.

Image of books

Institutional subscription on ScienceDirect

Request a sales quote
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.