Coverart for item
The Resource Causality, probability, and time, Samantha Kleinberg, Stevens Institute of Technology, Hoboken, New Jersey

Causality, probability, and time, Samantha Kleinberg, Stevens Institute of Technology, Hoboken, New Jersey

Label
Causality, probability, and time
Title
Causality, probability, and time
Statement of responsibility
Samantha Kleinberg, Stevens Institute of Technology, Hoboken, New Jersey
Creator
Author
Subject
Language
eng
Summary
  • "This book presents a new approach to causal inference and explanation, addressing both the timing and complexity of relationships. The method's feasibility and success is demonstrated through theoretical and experimental case studies"--
  • "Whether we want to know the cause of a stock's price movements (in order to trade on this information), the key phrases that can alter public opinion of a candidate (in order to optimize a politician's speeches) or which genes work together to regulate a disease causing process (in order to intervene and disrupt it), many goals center on finding and using causes. Causes tell us not only that two phenomena are related, but how they are related. They allow us to make robust predictions about the future, explain the relationship between and occurrence of events, and develop effective policies for intervention. While predictions are often made successfully on the basis of associations alone, these relationships can be unstable. If we do not know why the resulting models work, we cannot predict when they will stop working. Lung cancer rates in an area may be correlated with match sales if many smokers use matches to light their cigarettes, but match sales may also be influenced by blackouts and seasonal trends (with many purchases around holidays or in winter). A spike in match sales due to a blackout will not result in the predicted spike in lung cancer rates, but without knowledge of the underlying causes we would not be able to anticipate that failure. Models based on associations can also lead to redundancies, since multiple effects of the true cause may be included as they are correlated with its occurrence. In applications to the biomedical domain, this can result in unnecessary diagnostic tests that may be invasive and expensive"--
Assigning source
  • Provided by publisher
  • Provided by publisher
Cataloging source
DLC
Dewey number
511.3/52
Illustrations
illustrations
Index
index present
LC call number
QA267.7
LC item number
.K54 2013
Literary form
non fiction
Nature of contents
bibliography
Label
Causality, probability, and time, Samantha Kleinberg, Stevens Institute of Technology, Hoboken, New Jersey
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 241-250) and index
Carrier category
volume
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
Machine generated contents note: 1. Introduction; 2. A brief history of causality; 3. Probability, logic and probabilistic temporal logic; 4. Defining causality; 5. Inferring causality; 6. Token causality; 7. Case studies; 8. Conclusion; Appendix A. A little bit of statistics; Appendix B. Proofs
Dimensions
25 cm
Extent
vii, 259 pages
Isbn
9781107026483
Isbn Type
(Hardback)
Lccn
2012021047
Media category
unmediated
Media MARC source
rdamedia
Other physical details
illustrations
System control number
  • (OCoLC)ocn798059375
  • UtOrBLW
  • (OCoLC)ocn853274836
Label
Causality, probability, and time, Samantha Kleinberg, Stevens Institute of Technology, Hoboken, New Jersey
Publication
Bibliography note
Includes bibliographical references (pages 241-250) and index
Carrier category
volume
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
Machine generated contents note: 1. Introduction; 2. A brief history of causality; 3. Probability, logic and probabilistic temporal logic; 4. Defining causality; 5. Inferring causality; 6. Token causality; 7. Case studies; 8. Conclusion; Appendix A. A little bit of statistics; Appendix B. Proofs
Dimensions
25 cm
Extent
vii, 259 pages
Isbn
9781107026483
Isbn Type
(Hardback)
Lccn
2012021047
Media category
unmediated
Media MARC source
rdamedia
Other physical details
illustrations
System control number
  • (OCoLC)ocn798059375
  • UtOrBLW
  • (OCoLC)ocn853274836

Library Locations

    • Harold B. Lee Library Brigham Young University, Provo, UT, 84602, US
      40.249156 -111.649242
Processing Feedback ...