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Error and Inference [on wrong models]

December 6, 2011

In connection with my series of posts on the book Error and Inference, and my recent collation of those into an arXiv document, Deborah Mayo has started a series of informal seminars at the LSE on the philosophy of errors in statistics and the likelihood principle. and has also posted a long comment on my […]

Error and Inference [arXived]

November 29, 2011

Following my never-ending series of posts on the book Error and Inference, (edited) by Deborah Mayo and Ari Spanos (and kindly sent to me by Deborah), I decided to edit those posts into a (slightly) more coherent document, now posted on arXiv. And to submit it as a book review to Siam Review, even though […]

Error and Inference [end]

October 11, 2011

(This is my sixth and last post on Error and Inference, being as previously a raw and naïve reaction born from a linear and sluggish reading of the book, rather than a deeper and more informed criticism with philosophical bearings. Read at your own risk.) “‘It is refreshing to see Cox and Mayo give a […]

Error and Inference [#5]

September 28, 2011

(This is the fifth post on Error and Inference, as previously being a raw and naïve reaction following a linear and slow reading of the book, rather than a deeper and more informed criticism.) “‘Frequentist methods achieve an objective connection to hypotheses about the data-generating process by being constrained and calibrated by the method’s error […]

Error and Inference [#4]

September 21, 2011

(This is the fourth post on Error and Inference, again and again yet being a raw and naïve reaction following a linear and slow reading of the book, rather than a deeper and more informed criticism.) “‘The defining feature of an inductive inference is that the premises (evidence statements) can be true while the conclusion […]