Causality, Probability, and Time (inbunden)
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Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
265
Utgivningsdatum
2012-11-12
Förlag
Cambridge University Press
Illustratör/Fotograf
33 b, w illus 6 tables
Illustrationer
33 b/w illus. 6 tables
Dimensioner
236 x 152 x 18 mm
Vikt
499 g
Antal komponenter
1
Komponenter
52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam
ISBN
9781107026483

Causality, Probability, and Time

av Samantha Kleinberg
Inbunden,  Engelska, 2012-11-12
1668
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Causality is a key part of many fields and facets of life, from finding the relationship between diet and disease to discovering the reason for a particular stock market crash. Despite centuries of work in philosophy and decades of computational research, automated inference and explanation remains an open problem. In particular, the timing and complexity of relationships has been largely ignored even though this information is critically important for prediction, explanation and intervention. However, given the growing availability of large observational datasets including those from electronic health records and social networks, it is a practical necessity. This book presents a new approach to inference (finding relationships from a set of data) and explanation (assessing why a particular event occurred), addressing both the timing and complexity of relationships. The practical use of the method developed is illustrated through theoretical and experimental case studies, demonstrating its feasibility and success.
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Fler böcker av Samantha Kleinberg

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    Why

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    Can drinking coffee help people live longer? What makes a stock's price go up? Why did you get the flu? Causal questions like these arise on a regular basis, but most people likely have not thought deeply about how to answer them. This book h...

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  • Time and Causality across the Sciences

    Time and Causality across the Sciences

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    This book, geared toward academic researchers and graduate students, brings together research on all facets of how time and causality relate across the sciences. Time is fundamental to how we perceive and reason about causes. It lets us immediatel...

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Recensioner i media

'... informative and engaging ... Arguably an equally valuable contribution of the book is its integration of relevant work in philosophy, computer science, and statistics.' David R. Bickel, Mathematical Reviews

Övrig information

Samantha Kleinberg is Assistant Professor of Computer Science at Stevens Institute of Technology. She received a Ph.D. in Computer Science and a B.A. in Computer Science and Physics from New York University.

Innehållsförteckning

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.

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