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Thursday, 26 November 2015

DEBORAH MAYO: BAYESIAN DETRACTOR EXTRA-ORDINAIRE



                                                                         

                                                           
                                                                 DEBORAH MAYO


                                                        ERROR STATISTICS PHILOSOPHY

                                                     
                    ON THE BIRNBAUM ARGUMENT FOR THE STRONG LIKELIHOOD PRINCIPLE

                                                                       

                   Deborah Mayo and Michael Evans have both refuted Allan Birnbaum's celebrated 1962 proof that the Likelihood Principle is implied by the Sufficiency and Conditionality Principles,

                                              See     LIKELIHOOD PRINCIPLE

              and          A PERSONAL HISTORY OF BAYESIAN STATISTICS


Somewhat related:  STATISTICS AS A FORCE FOR MIND CONTROL

                                 

3 comments:

  1. Why is this here now? I thought you made it clear years ago that you found the whole issue of the LP too provocative...or something.

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  2. I found the issue of LP to be of substantial interest to Bayesians. It was your anti-Bayesian mania which I found provocative, I'm sure that you're a closet admirer---

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  3. Maybe I could take this opportunity to ask Deborah how non-Bayesians are able to perform finite sample size non-linear parametric inference in non-trivial situations without using asymptotic approximations or some sort of bootstrap procedure which screws up the measures of uncertainty? For example, how would you analyses a quadratic logistic regression model?

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