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Philip Dawid

Biographic Data

ID324890
NAMEPhilip Dawid
GIVEN NAMESPhilip
FAMILY NAMEDawid
SIGNATUREDAWID P
AFFILIATIONSUniversity of Cambridge
ORCID0000-0002-7410-6882
VERIFIEDYes
TOTAL WORKS10
TOTAL CITATIONS17
AUTHOR COUNT9
EDITOR COUNT1
FIRST PUBLICATION YEAR1985
LATEST PUBLICATION YEAR2024
H-INDEX2
  • Bounding Causes of Effects With Mediators

    Open Access•Philip Dawid, Michael Humphreys et al.•ARTICLE•Sociological Methods & Research•2024•References: 18

    Suppose X and Y are binary exposure and outcome variables, and we have full knowledge of the distribution of Y, given application of X. We are interested in assessing whether an outcome in some case is due to the exposure. This 'probability of causation' is of interest in comparative historical analysis where scholars use process tracing approaches to learn about causes of outcomes for single units by observing events along a causal path. The pro…

  • Resolving some contradictions in the theory of linear opinion pools: (Comments on “Learning from others: conditioning versus averaging” by Richard Bradley)

    Open Access•Philip Dawid, Julia Mortera•ARTICLE•Theory and Decision•2019

  • On individual risk

    Open Access•Philip Dawid•ARTICLE•Synthese•2017•References: 37

    We survey a variety of possible explications of the term “Individual Risk.” These in turn are based on a variety of interpretations of “Probability,” including classical, enumerative, frequency, formal, metaphysical, personal, propensity, chance and logical conceptions of probability, which we review and compare. We distinguish between “groupist” and “individualist” understandings of probability, and explore both “group to individual” and “indivi…

  • A Commentary on Statistical Assessment of Violence Recidivism Risk

    Open Access•Peter B Imrey, Philip Dawid•ARTICLE•Statistics and Public Policy•2015•Cited by: 2

    Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom

  • On the Causes of Effects: Response to Pearl

    Open Access•Philip Dawid, A Philip Dawid et al.•ARTICLE•Sociological Methods & Research•2015•References: 7

    We welcome Professor Pearl's comment on our original article, Dawid et al. Our focus there on the distinction between the 'Effects of Causes' (EoC) and the 'Causes of Effects' (CoE) concerned two fundamental problems, one a theoretical challenge in statistics and the other a practical challenge for trial courts. In this response, we seek to accomplish several things. First, using Pearl's own notation, we attempt to clarify the similarities and di…

  • Beauty

    Lauren Arrington, Zoe Leinhardt et al.•BOOK•Beauty•2014

  • Fitting Science Into Legal Contexts: Assessing Effects of Causes or Causes of Effects

    Open Access•Philip Dawid, A Philip Dawid et al.•ARTICLE•Sociological Methods & Research•2014•Cited by: 6•References: 23

    Law and science share many perspectives, but they also differ in important ways. While much of science is concerned with the effects of causes (EoC), relying upon evidence accumulated from randomized controlled experiments and observational studies, the problem of inferring the causes of effects (CoE) requires its own framing and possibly different data. Philosophers have written about the need to distinguish between the 'EoC' and 'the CoE' for h…

  • Authors’ Response to Comments on Fitting Science Into Legal Contexts: Assessing Effects of Causes or Causes of Effects

    Open Access•Philip Dawid, A Philip Dawid et al.•ARTICLE•Sociological Methods & Research•2013

  • A Bayesian Analysis of Hume's Argument Concerning Miracles

    Philip Dawid, Donald Gillies•ARTICLE•The Philosophical Quarterly•1989•Cited by: 7

    give a shorter and simpler treatment of the question, and one which, we think, makes clearer the difference between Hume and his contemporary critic Price. Our analysis is based on a general Bayesian account of testimony given by Dawid.2 In the course of expounding it, we shall explain the points where it differs from the earlier analyses of Sobel and Owen

  • Probability, Symmetry and Frequency

    Philip Dawid, A P DAWID•ARTICLE•The British Journal for the…•1985•Cited by: 2•References: 4

    We consider the meaning of the assignment of probabilities to events implied by the kind of model regularly used by Statisticians. Traditional frequentist understandings are reviewed and rejected. It is argued that many statistical models may be justified purely on the basis of the symmetry properties enjoyed by the observables being modelled.

  • A Bayesian Analysis of Hume's Argument Concerning Miracles

    Philip Dawid, Donald Gillies•ARTICLE•The Philosophical Quarterly•1989•Cited by: 7

    give a shorter and simpler treatment of the question, and one which, we think, makes clearer the difference between Hume and his contemporary critic Price. Our analysis is based on a general Bayesian account of testimony given by Dawid.2 In the course of expounding it, we shall explain the points where it differs from the earlier analyses of Sobel and Owen

  • Fitting Science Into Legal Contexts: Assessing Effects of Causes or Causes of Effects

    Open Access•Philip Dawid, A Philip Dawid et al.•ARTICLE•Sociological Methods & Research•2014•Cited by: 6•References: 23

    Law and science share many perspectives, but they also differ in important ways. While much of science is concerned with the effects of causes (EoC), relying upon evidence accumulated from randomized controlled experiments and observational studies, the problem of inferring the causes of effects (CoE) requires its own framing and possibly different data. Philosophers have written about the need to distinguish between the 'EoC' and 'the CoE' for h…

  • A Commentary on Statistical Assessment of Violence Recidivism Risk

    Open Access•Peter B Imrey, Philip Dawid•ARTICLE•Statistics and Public Policy•2015•Cited by: 2

    Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom

  • Probability, Symmetry and Frequency

    Philip Dawid, A P DAWID•ARTICLE•The British Journal for the…•1985•Cited by: 2•References: 4

    We consider the meaning of the assignment of probabilities to events implied by the kind of model regularly used by Statisticians. Traditional frequentist understandings are reviewed and rejected. It is argued that many statistical models may be justified purely on the basis of the symmetry properties enjoyed by the observables being modelled.

  • Probability, Symmetry and Frequency

    Philip Dawid, A P DAWID•ARTICLE•The British Journal for the…•1985•Cited by: 2•References: 4

    We consider the meaning of the assignment of probabilities to events implied by the kind of model regularly used by Statisticians. Traditional frequentist understandings are reviewed and rejected. It is argued that many statistical models may be justified purely on the basis of the symmetry properties enjoyed by the observables being modelled.

  • A Bayesian Analysis of Hume's Argument Concerning Miracles

    Philip Dawid, Donald Gillies•ARTICLE•The Philosophical Quarterly•1989•Cited by: 7

    give a shorter and simpler treatment of the question, and one which, we think, makes clearer the difference between Hume and his contemporary critic Price. Our analysis is based on a general Bayesian account of testimony given by Dawid.2 In the course of expounding it, we shall explain the points where it differs from the earlier analyses of Sobel and Owen

  • Authors’ Response to Comments on Fitting Science Into Legal Contexts: Assessing Effects of Causes or Causes of Effects

    Open Access•Philip Dawid, A Philip Dawid et al.•ARTICLE•Sociological Methods & Research•2013

  • Beauty

    Lauren Arrington, Zoe Leinhardt et al.•BOOK•Beauty•2014

  • Fitting Science Into Legal Contexts: Assessing Effects of Causes or Causes of Effects

    Open Access•Philip Dawid, A Philip Dawid et al.•ARTICLE•Sociological Methods & Research•2014•Cited by: 6•References: 23

    Law and science share many perspectives, but they also differ in important ways. While much of science is concerned with the effects of causes (EoC), relying upon evidence accumulated from randomized controlled experiments and observational studies, the problem of inferring the causes of effects (CoE) requires its own framing and possibly different data. Philosophers have written about the need to distinguish between the 'EoC' and 'the CoE' for h…

  • A Commentary on Statistical Assessment of Violence Recidivism Risk

    Open Access•Peter B Imrey, Philip Dawid•ARTICLE•Statistics and Public Policy•2015•Cited by: 2

    Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom

  • On the Causes of Effects: Response to Pearl

    Open Access•Philip Dawid, A Philip Dawid et al.•ARTICLE•Sociological Methods & Research•2015•References: 7

    We welcome Professor Pearl's comment on our original article, Dawid et al. Our focus there on the distinction between the 'Effects of Causes' (EoC) and the 'Causes of Effects' (CoE) concerned two fundamental problems, one a theoretical challenge in statistics and the other a practical challenge for trial courts. In this response, we seek to accomplish several things. First, using Pearl's own notation, we attempt to clarify the similarities and di…

  • On individual risk

    Open Access•Philip Dawid•ARTICLE•Synthese•2017•References: 37

    We survey a variety of possible explications of the term “Individual Risk.” These in turn are based on a variety of interpretations of “Probability,” including classical, enumerative, frequency, formal, metaphysical, personal, propensity, chance and logical conceptions of probability, which we review and compare. We distinguish between “groupist” and “individualist” understandings of probability, and explore both “group to individual” and “indivi…

  • Resolving some contradictions in the theory of linear opinion pools: (Comments on “Learning from others: conditioning versus averaging” by Richard Bradley)

    Open Access•Philip Dawid, Julia Mortera•ARTICLE•Theory and Decision•2019

  • Bounding Causes of Effects With Mediators

    Open Access•Philip Dawid, Michael Humphreys et al.•ARTICLE•Sociological Methods & Research•2024•References: 18

    Suppose X and Y are binary exposure and outcome variables, and we have full knowledge of the distribution of Y, given application of X. We are interested in assessing whether an outcome in some case is due to the exposure. This 'probability of causation' is of interest in comparative historical analysis where scholars use process tracing approaches to learn about causes of outcomes for single units by observing events along a causal path. The pro…

Epistemology (8 works) · Computer Science (7 works) · Philosophy (7 works) · Advanced Causal Inference Techniques (3 works) · Artificial Intelligence (3 works) · Artificial Intelligence (3 works) · Mathematical economics (3 works) · Mathematics (3 works) · Sociology (3 works) · Statistics (3 works)

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