Discovering Causal Structure
：Artificial Intelligence, Philosophy of Science, and Statistical Modeling
Publication subTitle ：Artificial Intelligence, Philosophy of Science, and Statistical Modeling
Author： Glymour Clark;Scheines Richard;Spirtes Peter
Publisher： Elsevier Science
Publication year： 2014
E-ISBN: 9781483265797
P-ISBN(Paperback): 9780122869617
P-ISBN(Hardback): 9780122869617
Subject： C32 Statistical method, calculating method
Keyword： 社会科学总论
Language： ENG
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Description
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.