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Causality, Probability, and Time - Samantha Kleinberg

Causality, Probability, and Time

By: Samantha Kleinberg

Hardcover | 12 November 2012

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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.
Industry Reviews
'... 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

You Can Find This Book In

Non-FictionPhilosophyEpistemology & The Theory of KnowledgeComputing & I.T.Computer ScienceArtificial IntelligenceNatural Language & Machine TranslationMathematicsMathematical FoundationMathematical LogicProbability & StatisticsPhilosophy & Logic
ScienceScience in GeneralPhilosophy of Science

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