Definitions

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  • adjective Not Bayesian.

Etymologies

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non- +‎ Bayesian

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Examples

  • So given the apparent plausibility of (4*), any grounds that one has for questioning the inductive step in the earlier, non-Bayesian versions of the argument are likely to translate into grounds for questioning, first of all, proposition (5*), and secondly, the closely connected proposition (5).

    The Problem of Evil Tooley, Michael 2009

  • This current usage is misleading since in inductive logic the Bayesian/non-Bayesian distinction should really hang on whether the logic gives Bayes 'theorem a prominent role, or whether the logic largely eschews the use of Bayes' theorem in inductive inferences, as does the classical approach to statistical inference.

    Inductive Logic Hawthorne, James 2008

  • When rigorous mathematics is applied to sampling, the probabilities are called non-Bayesian probabilities.

    Science and Philosophy 2007

  • Begin with a “prior distribution” which may be based on anything, including an assessment of the relative likelihoods of parameters or the results of non-Bayesian observations.

    Firedoglake » The Cirque du Soleil Defense, Part I 2006

  • One of the interesting things about the work is its proposal of a non-Bayesian way of dealing with probability of arguments.

    Archive 2005-12-01 2005

  • One of the interesting things about the work is its proposal of a non-Bayesian way of dealing with probability of arguments.

    Bernoullian Combination 2005

  • The third view, "likelihoodism," is popular among non-Bayesian statisticians.

    Bayes' Theorem Joyce, James 2003

  • There seems to be no decisive criterion of choice between the Bayesian and non-Bayesian approaches.

    CHANCE MAURICE KENDALL 1968

  • Because the computer is truly non-Bayesian, it can't yet differentiate between a win over an obviously bad team vs. a win over an obviously good team.

    Rocky Top Talk 2010

  • Begin with a "prior distribution" which may be based on anything, including an assessment of the relative likelihoods of parameters or the results of non-Bayesian observations.

    GuruFocus Updates - 2009

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