Skip Nav Destination
Close Modal
Update search
NARROW
Format
Subjects
Date
Availability
1-20 of 31
Glenn Shafer
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.001.0001
EISBN: 9780262290999
In The Art of Causal Conjecture , Glenn Shafer lays out a new mathematical and philosophical foundation for probability and uses it to explain concepts of causality used in statistics, artificial intelligence, and philosophy. The various disciplines that use causal reasoning differ in the relative weight they put on security and precision of knowledge as opposed to timeliness of action. The natural and social sciences seek high levels of certainty in the identification of causes and high levels of precision in the measurement of their effects. The practical sciences—medicine, business, engineering, and artificial intelligence—must act on causal conjectures based on more limited knowledge. Shafer's understanding of causality contributes to both of these uses of causal reasoning. His language for causal explanation can guide statistical investigation in the natural and social sciences, and it can also be used to formulate assumptions of causal uniformity needed for decision making in the practical sciences. Causal ideas permeate the use of probability and statistics in all branches of industry, commerce, government, and science. The Art of Causal Conjecture shows that causal ideas can be equally important in theory. It does not challenge the maxim that causation cannot be proven from statistics alone, but by bringing causal ideas into the foundations of probability, it allows causal conjectures to be more clearly quantified, debated, and confronted by statistical evidence.
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0021
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0022
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0023
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0024
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0025
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0026
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0027
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0028
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0029
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0030
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0001
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0002
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0003
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0004
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0005
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0006
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0007
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0008
EISBN: 9780262290999
Publisher: The MIT Press
Published: 15 November 1996
DOI: 10.7551/mitpress/1403.003.0009
EISBN: 9780262290999