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Probabilistic measures of causal strength

In Phyllis McKay Illari Federica Russo (ed.), Causality in the Sciences. Oxford University Press. pp. 600--627 (2011)

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  1. Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
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  • (2 other versions)Counterfactuals.David Lewis - 1973 - Foundations of Language 13 (1):145-151.
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  • Causal Necessity.Brian Skyrms - 1981 - Philosophy of Science 48 (2):329-335.
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  • From covariation to causation: A causal power theory.Patricia Cheng - 1997 - Psychological Review 104 (2):367-405.
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  • Probabilistic Causality.Ellery Eells - 1991 - Cambridge, England: Cambridge University Press.
    In this important book, Ellery Eells explores and refines 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 (...)
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  • A Theory of Conditionals.Robert Stalnaker - 1968 - In Nicholas Rescher (ed.), Studies in Logical Theory. Oxford,: Blackwell. pp. 98-112.
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  • Probabilistic Causality Emancipated.John Dupré - 1984 - Midwest Studies in Philosophy 9 (1):169-175.
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  • (1 other version)The cement of the universe.John Leslie Mackie - 1974 - Oxford,: Clarendon Press.
    Studies causation both as a concept and as it is 'in the objects.' Offers new accounts of the logic of singular causal statements, the form of causal regularities, the detection of causal relationships, the asymmetry of cause and effect, and necessary connection, and it relates causation to functional and statistical laws and to teleology.
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  • Causal necessity: a pragmatic investigation of the necessity of laws.Brian Skyrms - 1980 - New Haven: Yale University Press.
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  • Making things happen: a theory of causal explanation.James F. Woodward - 2003 - New York: Oxford University Press.
    Woodward's long awaited book is an attempt to construct a comprehensive account of causation explanation that applies to a wide variety of causal and explanatory claims in different areas of science and everyday life. The book engages some of the relevant literature from other disciplines, as Woodward weaves together examples, counterexamples, criticisms, defenses, objections, and replies into a convincing defense of the core of his theory, which is that we can analyze causation by appeal to the notion of manipulation.
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  • (1 other version)Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
    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, business, epidemiology, social science and economics.
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  • (1 other version)The direction of time.Hans Reichenbach - 1956 - Mineola, N.Y.: Dover Publications. Edited by Maria Reichenbach.
    The final work of a distinguished physicist, this remarkable volume examines the emotive significance of time, the time order of mechanics, the time direction of thermodynamics and microstatistics, the time direction of macrostatistics, and the time of quantum physics. Coherent discussions include accounts of analytic methods of scientific philosophy in the investigation of probability, quantum mechanics, the theory of relativity, and causality. "[Reichenbach’s] best by a good deal."—Physics Today. 1971 ed.
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  • Studies in Bayesian Confirmation Theory.Branden Fitelson - 2001 - Dissertation, University of Wisconsin, Madison
    According to Bayesian confirmation theory, evidence E (incrementally) confirms (or supports) a hypothesis H (roughly) just in case E and H are positively probabilistically correlated (under an appropriate probability function Pr). There are many logically equivalent ways of saying that E and H are correlated under Pr. Surprisingly, this leads to a plethora of non-equivalent quantitative measures of the degree to which E confirms H (under Pr). In fact, many non-equivalent Bayesian measures of the degree to which E confirms (or (...)
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  • Causation as influence.David Lewis - 2000 - Journal of Philosophy 97 (4):182-197.
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  • A Probabilistic Theory of Causality.P. Suppes - 1973 - British Journal for the Philosophy of Science 24 (4):409-410.
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  • Understanding Scientific Reasoning.Ronald N. Giere, John Bickle & Robert F. Mauldin - 2006 - Fort Worth, TX, USA: Cengage Learning.
    Understanding Scientific Reasoning, Fifth Edition, develops critical reasoning skills and guides students in the improvement of their scientific and technological literacy. The authors teach students how to understand and critically evaluate the scientific information they encounter in both textbooks and the popular media. With its focus on scientific pedagogy, Understanding Scientific Reasoning helps students learn how to examine scientific reports with a reasonable degree of sophistication. The book also explains how to reason through case studies using the same informal logic (...)
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  • On bayesian measures of evidential support: Theoretical and empirical issues.Vincenzo Crupi, Katya Tentori & and Michel Gonzalez - 2007 - Philosophy of Science 74 (2):229-252.
    Epistemologists and philosophers of science have often attempted to express formally the impact of a piece of evidence on the credibility of a hypothesis. In this paper we will focus on the Bayesian approach to evidential support. We will propose a new formal treatment of the notion of degree of confirmation and we will argue that it overcomes some limitations of the currently available approaches on two grounds: (i) a theoretical analysis of the confirmation relation seen as an extension of (...)
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  • (1 other version)A Probabilistic Theory of Causality.Alex C. Michalos - 1972 - Philosophy of Science 39 (4):560-561.
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  • Erratum: Probabilities of Conditionals and Conditional Probabilities.David Lewis - 1976 - Philosophical Review 85 (4):561.
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  • Probabilistic Causality.Wayne A. Davis & Ellery Eells - 1993 - Philosophical Review 102 (3):410.
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  • The plurality of bayesian measures of confirmation and the problem of measure sensitivity.Branden Fitelson - 1999 - Philosophy of Science 66 (3):378.
    Contemporary Bayesian confirmation theorists measure degree of (incremental) confirmation using a variety of non-equivalent relevance measures. As a result, a great many of the arguments surrounding quantitative Bayesian confirmation theory are implicitly sensitive to choice of measure of confirmation. Such arguments are enthymematic, since they tacitly presuppose that certain relevance measures should be used (for various purposes) rather than other relevance measures that have been proposed and defended in the philosophical literature. I present a survey of this pervasive class of (...)
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  • (2 other versions)Counterfactuals.David Lewis - 1973 - Philosophy of Science 42 (3):341-344.
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  • (1 other version)A Causal Calculus II.Irving John Good - 1961 - British Journal for the Philosophy of Science 12 (45):43-51.
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  • Causal Generalizations and Good Advice.Christopher Hitchcock - 2001 - The Monist 84 (2):218-241.
    The aim of this paper is to explicate causal generalizations such as.
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  • The Chances of Explanation: Causal Explanation in the Social, Medical, and Physical Sciences.Paul Humphreys - 1992 - Princeton Up.
    This book provides a post-positivist theory of deterministic and probabilistic causality that supports both quantitative and qualitative explanations. Features of particular interest include the ability to provide true explanations in contexts where our knowledge is incomplete, a systematic interpretation of causal modeling techniques in the social sciences, and a direct realist view of causal relations that is compatible with a liberal empiricism. The book should be of wide interest to both philosophers and scientists. Originally published in 1989. The Princeton Legacy (...)
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  • (1 other version)Symmetries and asymmetries in evidential support.Ellery Eells & Branden Fitelson - 2002 - Philosophical Studies 107 (2):129 - 142.
    Several forms of symmetry in degrees of evidential support areconsidered. Some of these symmetries are shown not to hold in general. This has implications for the adequacy of many measures of degree ofevidential support that have been proposed and defended in the philosophical literature.
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  • The Direction of Time.Hans Reichenbach - 1956 - Philosophy 34 (128):65-66.
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  • (4 other versions)The Cement of the Universe.John Earman & J. L. Mackie - 1976 - Philosophical Review 85 (3):390.
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  • The Chances of Explanation: Causal Explanation in the Social, Medical and Physical Sciences. [REVIEW]Jim Woodward - 1993 - Philosophy of Science 60 (4):659.
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  • Do All and Only Causes Raise the Probabilities of Effects?C. Hitchcock - 2004 - In John Collins, Ned Hall & Laurie Paul (eds.), Causation and Counterfactuals. MIT Press.
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  • Review of T he Direction of Time.Henryk Mehlberg - 1962 - Philosophical Review 71 (1):99.
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