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Theories Of Probabilistic Causality


Theories Of Probabilistic Causality
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Probabilistic Causality


Probabilistic Causality
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Author : Ellery Eells
language : en
Publisher: Cambridge University Press
Release Date : 1991-03-29

Probabilistic Causality written by Ellery Eells and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-03-29 with Business & Economics categories.


In this important first book in the series Cambridge Studies in Probability, Induction and Decision Theory, Ellery Eells explores and refines current philosophical conceptions of probabilistic causality. In a probabilistic theory of causation, causes increase the probability of their effects rather than necessitate their effects in the ways traditional deterministic theories have specified. Philosophical interest in this subject arises from attempts to understand population sciences as well as indeterminism in physics. Taking into account issues involving spurious correlation, probabilistic causal interaction, disjunctive causal factors, and temporal ideas, Professor Eells advances the analysis of what it is for one factor to be a positive causal factor for another. A salient feature of the book is a new theory of token level probabilistic causation in which the evolution of the probability of a later event from an earlier event is central.



Causality Probability And Medicine


Causality Probability And Medicine
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Author : Donald Gillies
language : en
Publisher: Routledge
Release Date : 2018-08-15

Causality Probability And Medicine written by Donald Gillies and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-15 with Philosophy categories.


Why is understanding causation so important in philosophy and the sciences? Should causation be defined in terms of probability? Whilst causation plays a major role in theories and concepts of medicine, little attempt has been made to connect causation and probability with medicine itself. Causality, Probability, and Medicine is one of the first books to apply philosophical reasoning about causality to important topics and debates in medicine. Donald Gillies provides a thorough introduction to and assessment of competing theories of causality in philosophy, including action-related theories, causality and mechanisms, and causality and probability. Throughout the book he applies them to important discoveries and theories within medicine, such as germ theory; tuberculosis and cholera; smoking and heart disease; the first ever randomized controlled trial designed to test the treatment of tuberculosis; the growing area of philosophy of evidence-based medicine; and philosophy of epidemiology. This book will be of great interest to students and researchers in philosophy of science and philosophy of medicine, as well as those working in medicine, nursing and related health disciplines where a working knowledge of causality and probability is required.



Theories Of Probabilistic Causality


Theories Of Probabilistic Causality
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Author : Joseph David Bessie
language : en
Publisher:
Release Date : 1991

Theories Of Probabilistic Causality written by Joseph David Bessie and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.




Actual Causality


Actual Causality
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Author : Joseph Y. Halpern
language : en
Publisher: MIT Press
Release Date : 2016-08-12

Actual Causality written by Joseph Y. Halpern and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-12 with Computers categories.


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.



Causality


Causality
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Author : Judea Pearl
language : en
Publisher: Cambridge University Press
Release Date : 2009-09-14

Causality written by Judea Pearl and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-14 with Computers categories.


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 ...



Causality Probability And Time


Causality Probability And Time
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Author : Samantha Kleinberg
language : en
Publisher: Cambridge University Press
Release Date : 2013

Causality Probability And Time written by Samantha Kleinberg and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.


Presents a new approach to causal inference and explanation, addressing both the timing and complexity of relationships.



A Probabilistic Theory Of Causality


A Probabilistic Theory Of Causality
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Author : Patrick Suppes
language : en
Publisher: North-Holland
Release Date : 1970

A Probabilistic Theory Of Causality written by Patrick Suppes and has been published by North-Holland this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Mathematics categories.




Probabilistic Causality In Longitudinal Studies


Probabilistic Causality In Longitudinal Studies
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Author : Mervi Eerola
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Probabilistic Causality In Longitudinal Studies written by Mervi Eerola and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.


In many applied fields of statistics the concept of causality is central to a scientific investigation. The author's aim in this book is to extend the classical theories of probabilistic causality to longitudinal settings and to propose that interesting causal questions can be related to causal effects which can change in time. The proposed prediction method in this study provides a framework to study the dynamics and the magnitudes of causal effects in a series of dependent events. Its usefulness is demonstrated by the analysis of two examples both drawn from biomedicine, one on bone marrow transplants and one on mental hospitalization. Consequently, statistical researchers and other scientists concerned with identifying causal relationships will find this an interesting and new approach to this problem.



Causal Necessity


Causal Necessity
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Author : Brian Skyrms
language : en
Publisher:
Release Date : 1980-01-01

Causal Necessity written by Brian Skyrms and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980-01-01 with Causation categories.




Theories Of Causality


Theories Of Causality
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Author : John Losee
language : en
Publisher: Routledge
Release Date : 2017-07-28

Theories Of Causality written by John Losee and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-28 with Philosophy categories.


What types of entities qualify as causes and effects? What is the relationship between cause and effect? How are causal claims to be assessed? The first question deals with the structure of the world; the second is about theories that interpret the relationship of causes to effects; while the third has to do with proper procedure in science and everyday life. This volume is a wide-ranging history of answers that have been given to these three questions, and their relationship to scientific understanding.Losee presents a number of theories of causality within a historical survey that emphasizes the interrelationship between these theories and developments in science. His analysis displays the strengths and weaknesses of these theories so as to contribute to our present understanding of causal relatedness.Among the positions discussed are those of Aristotle, Hume, Kant, Mill, Salmon, Lewis, and Woodward. Losee's analysis displays the strengths and weaknesses of theories that identify causal relatedness with regularity of sequence, probability increase, energy transfer, exchange of a conserved quantity, counterfactual dependence, and inferability.These theories are judged, in part,by their ability to resolvedifficulties posed by instances of overdetermination,causation by omission, preventive causation, and causation by disconnection. Since applications of the theories to these instances disagree, a strategy of employing multiple concepts of causation is examined.Theories of Causality also describes the particular difficulties for causal analysis posed by quantum mechanics. One such difficulty is the prohibition against combining a causal analysis of a quantum process with a spatio-temporal description of that process.