Causality - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Causality write by Judea Pearl. This book was released on 2009-09-14. Causality available in PDF, EPUB and Kindle. Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence ...
Actual Causality
Actual Causality - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Actual Causality write by Joseph Y. Halpern. This book was released on 2016-08-12. Actual Causality available in PDF, EPUB and Kindle. Explores actual causality, and such related notions as degree of responsibility, degree of blame, and causal explanation. The goal is to arrive at a definition of causality that matches our natural language usage and is helpful, for example, to a jury deciding a legal case, a programmer looking for the line of code that cause some software to fail, or an economist trying to determine whether austerity caused a subsequent depression.
A Logical Theory of Causality
A Logical Theory of Causality - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Logical Theory of Causality write by Alexander Bochman. This book was released on 2021-08-17. A Logical Theory of Causality available in PDF, EPUB and Kindle. A general formal theory of causal reasoning as a logical study of causal models, reasoning, and inference. In this book, Alexander Bochman presents a general formal theory of causal reasoning as a logical study of causal models, reasoning, and inference, basing it on a supposition that causal reasoning is not a competitor of logical reasoning but its complement for situations lacking logically sufficient data or knowledge. Bochman also explores the relationship of this theory with the popular structural equation approach to causality proposed by Judea Pearl and explores several applications ranging from artificial intelligence to legal theory, including abduction, counterfactuals, actual and proximate causality, dynamic causal models, and reasoning about action and change in artificial intelligence. As logical preparation, before introducing causal concepts, Bochman describes an alternative, situation-based semantics for classical logic that provides a better understanding of what can be captured by purely logical means. He then presents another prerequisite, outlining those parts of a general theory of nonmonotonic reasoning that are relevant to his own theory. These two components provide a logical background for the main, two-tier formalism of the causal calculus that serves as the formal basis of his theory. He presents the main causal formalism of the book as a natural generalization of classical logic that allows for causal reasoning. This provides a formal background for subsequent chapters. Finally, Bochman presents a generalization of causal reasoning to dynamic domains.
Causal Inference
Causal Inference - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Causal Inference write by Miquel A. Hernan. This book was released on 2019-07-07. Causal Inference available in PDF, EPUB and Kindle. The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. With a wide range of detailed, worked examples using real epidemiologic data as well as software for replicating the analyses, the text provides a thorough introduction to the basics of the theory for non-time-varying treatments and the generalization to complex longitudinal data.
Causality, Probability, and Time
Causality, Probability, and Time - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Causality, Probability, and Time write by Samantha Kleinberg. This book was released on 2013. Causality, Probability, and Time available in PDF, EPUB and Kindle. Presents a new approach to causal inference and explanation, addressing both the timing and complexity of relationships.
