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  1.  2
    Diverse confidence levels in a probabilistic semantics for conditional logics.Paul Snow - 1999 - Artificial Intelligence 113 (1-2):269-279.
  2.  18
    Inductive strategy and statistical tactics.Paul Snow - 1998 - Behavioral and Brain Sciences 21 (2):219-219.
    Chow ably defends classical significance testing by relating this method to venerable principles for inductive reasoning. Chow's success does not preclude the use of other approaches to statistical reasoning, which is fortunate not only for Bayesian rivals, but even for some fellow classicists.
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  3.  39
    Maximizing expected utility is a survival criterion.Paul Snow - 1987 - Theory and Decision 22 (2):143-154.
  4.  46
    Nearly bayesian uncertain reasoning methods.Paul Snow - 1997 - Behavioral and Brain Sciences 20 (4):779-780.
    Subjects are reported as being somewhat Bayesian, but as violating the normative ideal on occasion. To abjure probability altogether is difficult. To use Bayes' Theorem scrupulously when weighing evidence can incur costs without corresponding benefits. The subjects' evident nuanced probabilism appears both realistic and reasonable.
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  5.  32
    Rationality and irrationality: Still fighting words.Paul Snow - 1991 - Behavioral and Brain Sciences 14 (3):505-506.
  6.  15
    Small statistical aberrations and mutual information.Paul Snow - 1990 - Behavioral and Brain Sciences 13 (2):387-387.
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  7.  52
    The value of information in Newcomb's Problem and the Prisoners' Dilemma.Paul Snow - 1985 - Theory and Decision 18 (2):129-133.
  8.  2
    The vulnerability of the transferable belief model to Dutch books.Paul Snow - 1998 - Artificial Intelligence 105 (1-2):345-354.
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