Carl Wagner
Biographic Data
| ID | 3866095 |
|---|---|
| NAME | Carl Wagner |
| GIVEN NAMES | Carl |
| FAMILY NAME | Wagner |
| SIGNATURE | WAGNER C |
| AFFILIATIONS | University of Tennessee at Knoxville |
| ORCID | 0000-0002-3180-3987 |
| VERIFIED | Yes |
| TOTAL WORKS | 21 |
| TOTAL CITATIONS | 51 |
| AUTHOR COUNT | 21 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1963 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
A Further Look at the Bayes Blind Spot
Recovering a Prior from a Posterior
Postscript to Richard Jeffrey’s “Conditioning, Kinematics, and Exchangeability”
Richard Jeffrey’s “Conditioning, Kinematics, and Exchangeability” is one of the foundational documents of probability kinematics. However, the section entitled “Successive Updating” contains a subtle error regarding the applicability of updating by so-called relevance quotients in order to ensure the commutativity of successive probability kinematical revisions. Upon becoming aware of this error, Jeffrey formulated the appropriate remedy, but he …
Brain-based Correlations Between Psychological Factors and Functional Dyspepsia
Our results suggested that the altered cerebral glycometabolism may be in a vicious cycle of psychological vulnerabilities and increased gastrointestinal symptoms.
The corroboration paradox
Modus Tollens Probabilized
We establish a probabilized version of modus tollens, deriving from p(E|H)=a and p(Ē)=b the best possible bounds on p(H̄). In particular, we show that p(H̄) → 1 as a, b → 1, and also as a, b → 0. 1. Introduction 2. Probabilities of conditionals 3. Conditional probabilities 3.1 Adams' thesis 3.2 Modus ponens for conditional probabilities 3.3 Modus tollens for conditional probabilities
Probability Kinematics and Commutativity
The so-called “non-commutativity” of probability kinematics has caused much unjustified concern. When identical learning is properly represented, namely, by identical Bayes factors rather than identical posterior probabilities, then sequential probability-kinematical revisions behave just as they should. Our analysis is based on a variant of Field's reformulation of probability kinematics, divested of its (inessential) physicalist gloss
Old Evidence and New Explanation III
Garber (1983) and Jeffrey (1991, 1995) have both proposed solutions to the old evidence problem. Jeffrey's solution, based on a new probability revision method called reparation , has been generalized to the case of uncertain old evidence and probabilistic new explanation in Wagner 1997, 1999. The present paper reformulates some of the latter work, highlighting the central role of Bayes factors and their associated uniformity principle , and exte…
Old Evidence and New Explanation II
Additional results are reported on the author's earlier generalization of Richard Jeffrey's solution to the problem of old evidence and new explanation
Old Evidence and New Explanation
Jeffrey has devised a probability revision method that increases the probability of hypothesis H when it is discovered that H implies previously known evidence E. A natural extension of Jeffrey's method likewise increases the probability of H when E has been established with sufficiently high probability and it is then discovered, quite apart from this, that H confers sufficiently higher probability on E than does its logical negation H̄
Diagnostic conditionalization
On the formal properties of weighted averaging as a method of aggregation
Intransitive indifference
Probability amalgamation and the independence issue
Rational Consensus in Science and Society
The Formal Foundations of Lehrer’s Theory of Consensus
Consensus through respect
Model, need, and cost effects in helping behavior
Expectation and Attractiveness of Group Membership as Functions of Task Difficulty and Magnitude of Reward
Expectation and attractiveness of group membership were measured under conditions of concurrent but independent variation of task difficulty and associated reward magnitude. The experiment was initially performed on a sample of 108 high school psychology students and was replicated on a separate sample of 99 Ss from the same population. In both experiments, the results indicated that task difficulty affected neither dependent variable, but that b…
The Interaction of Personality and Intelligence in Task Performance
Washington Office Activities
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button
Probability Kinematics and Commutativity
The so-called “non-commutativity” of probability kinematics has caused much unjustified concern. When identical learning is properly represented, namely, by identical Bayes factors rather than identical posterior probabilities, then sequential probability-kinematical revisions behave just as they should. Our analysis is based on a variant of Field's reformulation of probability kinematics, divested of its (inessential) physicalist gloss
Consensus through respect
Model, need, and cost effects in helping behavior
On the formal properties of weighted averaging as a method of aggregation
Modus Tollens Probabilized
We establish a probabilized version of modus tollens, deriving from p(E|H)=a and p(Ē)=b the best possible bounds on p(H̄). In particular, we show that p(H̄) → 1 as a, b → 1, and also as a, b → 0. 1. Introduction 2. Probabilities of conditionals 3. Conditional probabilities 3.1 Adams' thesis 3.2 Modus ponens for conditional probabilities 3.3 Modus tollens for conditional probabilities
Old Evidence and New Explanation
Jeffrey has devised a probability revision method that increases the probability of hypothesis H when it is discovered that H implies previously known evidence E. A natural extension of Jeffrey's method likewise increases the probability of H when E has been established with sufficiently high probability and it is then discovered, quite apart from this, that H confers sufficiently higher probability on E than does its logical negation H̄
Diagnostic conditionalization
Old Evidence and New Explanation III
Garber (1983) and Jeffrey (1991, 1995) have both proposed solutions to the old evidence problem. Jeffrey's solution, based on a new probability revision method called reparation , has been generalized to the case of uncertain old evidence and probabilistic new explanation in Wagner 1997, 1999. The present paper reformulates some of the latter work, highlighting the central role of Bayes factors and their associated uniformity principle , and exte…
Old Evidence and New Explanation II
Additional results are reported on the author's earlier generalization of Richard Jeffrey's solution to the problem of old evidence and new explanation
Washington Office Activities
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button
The Interaction of Personality and Intelligence in Task Performance
Expectation and Attractiveness of Group Membership as Functions of Task Difficulty and Magnitude of Reward
Expectation and attractiveness of group membership were measured under conditions of concurrent but independent variation of task difficulty and associated reward magnitude. The experiment was initially performed on a sample of 108 high school psychology students and was replicated on a separate sample of 99 Ss from the same population. In both experiments, the results indicated that task difficulty affected neither dependent variable, but that b…
Model, need, and cost effects in helping behavior
Consensus through respect
The Formal Foundations of Lehrer’s Theory of Consensus
Rational Consensus in Science and Society
Probability amalgamation and the independence issue
On the formal properties of weighted averaging as a method of aggregation
Intransitive indifference
Diagnostic conditionalization
Old Evidence and New Explanation
Jeffrey has devised a probability revision method that increases the probability of hypothesis H when it is discovered that H implies previously known evidence E. A natural extension of Jeffrey's method likewise increases the probability of H when E has been established with sufficiently high probability and it is then discovered, quite apart from this, that H confers sufficiently higher probability on E than does its logical negation H̄
Old Evidence and New Explanation II
Additional results are reported on the author's earlier generalization of Richard Jeffrey's solution to the problem of old evidence and new explanation
Old Evidence and New Explanation III
Garber (1983) and Jeffrey (1991, 1995) have both proposed solutions to the old evidence problem. Jeffrey's solution, based on a new probability revision method called reparation , has been generalized to the case of uncertain old evidence and probabilistic new explanation in Wagner 1997, 1999. The present paper reformulates some of the latter work, highlighting the central role of Bayes factors and their associated uniformity principle , and exte…
Probability Kinematics and Commutativity
The so-called “non-commutativity” of probability kinematics has caused much unjustified concern. When identical learning is properly represented, namely, by identical Bayes factors rather than identical posterior probabilities, then sequential probability-kinematical revisions behave just as they should. Our analysis is based on a variant of Field's reformulation of probability kinematics, divested of its (inessential) physicalist gloss
Modus Tollens Probabilized
We establish a probabilized version of modus tollens, deriving from p(E|H)=a and p(Ē)=b the best possible bounds on p(H̄). In particular, we show that p(H̄) → 1 as a, b → 1, and also as a, b → 0. 1. Introduction 2. Probabilities of conditionals 3. Conditional probabilities 3.1 Adams' thesis 3.2 Modus ponens for conditional probabilities 3.3 Modus tollens for conditional probabilities
The corroboration paradox
Brain-based Correlations Between Psychological Factors and Functional Dyspepsia
Our results suggested that the altered cerebral glycometabolism may be in a vicious cycle of psychological vulnerabilities and increased gastrointestinal symptoms.
Postscript to Richard Jeffrey’s “Conditioning, Kinematics, and Exchangeability”
Richard Jeffrey’s “Conditioning, Kinematics, and Exchangeability” is one of the foundational documents of probability kinematics. However, the section entitled “Successive Updating” contains a subtle error regarding the applicability of updating by so-called relevance quotients in order to ensure the commutativity of successive probability kinematical revisions. Upon becoming aware of this error, Jeffrey formulated the appropriate remedy, but he …
Recovering a Prior from a Posterior
A Further Look at the Bayes Blind Spot
Philosophy (13 works) · Epistemology (12 works) · Mathematics (12 works) · Computer Science (11 works) · Statistics (7 works) · Philosophy and History of Science (6 works) · Psychology (6 works) · Bayesian Modeling and Causal Inference (5 works) · Mathematical economics (5 works) · Metaphysics (5 works)