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31Sins of the epistemic probabilist : exchanges with Peter AchinsteinIn Deborah G. Mayo & Aris Spanos (eds.), Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science, Cambridge University Press. pp. 189. 2009.
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37An error in the argument from conditionality and sufficiency to the likelihood principleIn Deborah G. Mayo & Aris Spanos (eds.), Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science, Cambridge University Press. pp. 305. 2009.
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76Novel work on problems of novelty? Comments on HudsonStudies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 34 (1): 131-134. 2003.
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16How to Discount Double-Counting When It Counts: Some ClarificationsBritish Journal for the Philosophy of Science 59 (4): 857-879. 2008.The issues of double-counting, use-constructing, and selection effects have long been the subject of debate in the philosophical as well as statistical literature. I have argued that it is the severity, stringency, or probativeness of the test—or lack of it—that should determine if a double-use of data is admissible. Hitchcock and Sober ([2004]) question whether this ‘severity criterion' can perform its intended job. I argue that their criticisms stem from a flawed interpretation of the severity…Read more
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11Explanation and testing exchanges with Clark GlymourIn Deborah G. Mayo & Aris Spanos (eds.), Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science, Cambridge University Press. pp. 351. 2009.
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69Severe tests, arguing from error, and methodological underdeterminationPhilosophical Studies 86 (3): 243-266. 1997.
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32Cartwright, Causality, and CoincidencePSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986. 1986.Cartwright argues for being a realist about theoretical entities but non-realist about theoretical laws. Her reason is that while the former involves causal explanation, the latter involves theoretical explanation; and inferences to causes, unlike inferences to theories, can avoid the redundancy objection--that one cannot rule out alternatives that explain the phenomena equally well. I sketch Cartwright's argument for inferring the most probable cause, focusing on Perrin's inference to molecular…Read more
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36Philosophy of Science AssociationIn Richard Boyd, Philip Gasper & J. D. Trout (eds.), The Philosophy of Science, Mit Press. pp. 58--4. 1991.
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50Objectivity and conditionality in frequentist inferenceIn Deborah G. Mayo & Aris Spanos (eds.), Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science, Cambridge University Press. pp. 276. 2009.
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138Models of group selectionPhilosophy of Science 54 (4): 515-538. 1987.The key problem in the controversy over group selection is that of defining a criterion of group selection that identifies a distinct causal process that is irreducible to the causal process of individual selection. We aim to clarify this problem and to formulate an adequate model of irreducible group selection. We distinguish two types of group selection models, labeling them type I and type II models. Type I models are invoked to explain differences among groups in their respective rates of pr…Read more
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56Error statistics and learning from error: Making a virtue of necessityPhilosophy of Science 64 (4): 212. 1997.The error statistical account of testing uses statistical considerations, not to provide a measure of probability of hypotheses, but to model patterns of irregularity that are useful for controlling, distinguishing, and learning from errors. The aim of this paper is (1) to explain the main points of contrast between the error statistical and the subjective Bayesian approach and (2) to elucidate the key errors that underlie the central objection raised by Colin Howson at our PSA 96 Symposium
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