Causality
Statistical Perspectives and Applications
Herausgegeben von Berzuini, Carlo; Dawid, Philip; Bernardinell, Luisa
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A state of the art volume on statistical causalityCausality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science.This book:Provides a clear account and comparison of formal languages, concepts and models for statistical causality.Address...
A state of the art volume on statistical causality
Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science.
This book:
Provides a clear account and comparison of formal languages, concepts and models for statistical causality.
Addresses examples from medicine, biology, economics and political science to aid the reader's understanding.
Is authored by leading experts in their field.
Is written in an accessible style.
Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.
Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science.
This book:
Provides a clear account and comparison of formal languages, concepts and models for statistical causality.
Addresses examples from medicine, biology, economics and political science to aid the reader's understanding.
Is authored by leading experts in their field.
Is written in an accessible style.
Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.
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