Merge pull request #17 from isaquepim/mayo

mayo and birnbaum

Author: maxbiostat

README.md

@@ -44,7 +44,8 @@ a few times to get it right.
 - Berger and Wolpert's 1988 [monograph](https://errorstatistics.files.wordpress.com/2016/04/berger-wolpert-1988.pdf) is the definitive text on the [Likelihood Principle](https://en.wikipedia.org/wiki/Likelihood_principle) (LP).
 - See [this](https://arxiv.org/pdf/1906.10733.pdf) paper By Franklin and Bambirra for a generalised version of the LP.
 - As advanced reading, one can consider [Birnbaum (1962)](https://www.tandfonline.com/doi/abs/10.1080/01621459.1962.10480660) and a helpful review [paper](https://link.springer.com/content/pdf/10.1007/978-1-4612-0919-5_31.pdf) published 30 years later by Bjornstad.
-- Michael Evans has a few papers on the LP. See [Evans, Fraser & Monette (1986)](https://errorstatistics.files.wordpress.com/2017/12/evans-fraser-monette-1986.pdf) for an argument using a stronger version of CP and [Evans, 2013](https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-7/issue-none/What-does-the-proof-of-Birnbaums-theorem-prove/10.1214/13-EJS857.full) for a flaw with the original 1962 paper by Birnbaum. 
+- Michael Evans has a few papers on the LP. See [Evans, Fraser & Monette (1986)](https://errorstatistics.files.wordpress.com/2017/12/evans-fraser-monette-1986.pdf) for an argument using a stronger version of CP and [Evans, 2013](https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-7/issue-none/What-does-the-proof-of-Birnbaums-theorem-prove/10.1214/13-EJS857.full) for a flaw with the original 1962 paper by Birnbaum.
+- Deborah G. Mayo [challenged](https://projecteuclid.org/journals/statistical-science/volume-29/issue-2/On-the-Birnbaum-Argument-for-the-Strong-Likelihood-Principle/10.1214/13-STS457.full) Birnbaum's argument on the LP. But Mayo implicitly changed the statement of the SP, nullifing her point. This [Cross-Validate](https://stats.stackexchange.com/questions/379798/did-deborah-mayo-refute-birnbaums-proof-of-the-likelihood-principle) post adds more details to the story and to the relevance of the LP.
 
 ## Lecture 2: Belief functions, coherence, exchangeability