Philip Dawid
Biographic Data
| ID | 324890 |
|---|---|
| NAME | Philip Dawid |
| GIVEN NAMES | Philip |
| FAMILY NAME | Dawid |
| SIGNATURE | DAWID P |
| AFFILIATIONS | University of Cambridge |
| ORCID | 0000-0002-7410-6882 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 17 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 1985 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
Bounding Causes of Effects With Mediators
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)
On individual risk
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
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
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
Fitting Science Into Legal Contexts: Assessing Effects of Causes or Causes of Effects
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
A Bayesian Analysis of Hume's Argument Concerning Miracles
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
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
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
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
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
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
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
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
Beauty
Fitting Science Into Legal Contexts: Assessing Effects of Causes or Causes of Effects
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
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
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
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)
Bounding Causes of Effects With Mediators
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)