Likelihood and convergence

Philosophy of Science 55 (2):228-237 (1988)
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Abstract

A common view among statisticians is that convergence (which statisticians call consistency) is a necessary property of an inference rule or estimator. In this paper, this view is challenged by appeal to an example in which a rule of inference has a likelihood rationale but is not convergent. The example helps clarify the significance of the likelihood concept in statistical inference

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10.1086/289429

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Elliott Sober
University of Wisconsin, Madison

Citations of this work

Objectivity and Bias.Gordon Belot - 2017 - Mind 126 (503):655-695.
History, objectivity, and the construction of molecular phylogenies.Edna Suárez-Díaz & Victor H. Anaya-Muñoz - 2008 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 39 (4):451-468.
Parsimony and predictive equivalence.Elliott Sober - 1996 - Erkenntnis 44 (2):167 - 197.
Predictive accuracy as an achievable goal of science.Malcolm R. Forster - 2002 - Proceedings of the Philosophy of Science Association 2002 (3):S124-S134.

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References found in this work

Concepts of statistical evidence.Allan Birnbaum - 1969 - In Ernest Nagel, Sidney Morgenbesser, Patrick Suppes & Morton White (eds.), Philosophy, science, and method. New York,: St. Martin's Press. pp. 112--143.

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