Clark Glymour

Books by this Author

By Peter Spirtes, Clark Glymour, Richard Scheines
What assumptions and methods allow us to turn observations into causal knowledge, and how can even incomplete causal knowledge be used in planning and prediction to influence and control our environment? In this book Peter Spirtes, Clark Glymour, and Richard Scheines address these questions using the formalism of Bayes networks, with results that have been applied in diverse areas of research in...
Bayes Nets and Graphical Causal Models in Psychology
By Clark Glymour
In recent years, small groups of statisticians, computer scientists, and philosophers have developed an account of how partial causal knowledge can be used to compute the effect of actions and how causal relations can be learned, at least by computers. The representations used in the emerging theory are causal Bayes nets or graphical causal models.In his new book, Clark Glymour provides an...

Books by this Editor

Edited By Gregory F. Cooper, Clark Glymour
In science, business, and policymaking—anywhere data are used in prediction—two sorts of problems requiring very different methods of analysis often arise. The first, problems of recognition and classification, concerns learning how to use some features of a system to accurately predict other features of that system. The second, problems of causal discovery, concerns learning how to...

Journal Articles by this Author

Network Neuroscience
Volume 3, Issue 2 (2019)
By Ruben Sanchez-Romero, Joseph D. Ramsey, Kun Zhang, Madelyn R. K. Glymour, Biwei Huang, Clark Glymour