Discovering Causal Structure (PDF)
Artificial Intelligence, Philosophy of Science, and Statistical Modeling
(Sprache: Englisch)
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,...
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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.
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.
Bibliographische Angaben
- Autoren: Clark Glymour , Richard Scheines , Peter Spirtes
- 2014, 412 Seiten, Englisch
- Verlag: Elsevier Science & Techn.
- ISBN-10: 148326579X
- ISBN-13: 9781483265797
- Erscheinungsdatum: 10.05.2014
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