Error and Inference: an outsider stand on a frequentist philosophy

TL;DR

This paper reviews the book 'Error and Inference', highlighting its frequentist philosophy on hypothesis testing and addressing criticisms of Bayesian methods from an outsider perspective.

Contribution

It provides an outsider's analysis of the philosophical foundations of frequentist inference and critiques of alternative approaches like Bayesian statistics.

Findings

Emphasizes the importance of error control in hypothesis testing

Critiques Bayesian methods from a frequentist standpoint

Highlights philosophical differences in statistical inference

Abstract

This note is an extended review of the book Error and Inference, edited by Deborah Mayo and Aris Spanos, about their frequentist and philosophical perspective on testing of hypothesis and on the criticisms of alternatives like the Bayesian approach.