Error and Inference: an outsider stand on a frequentist philosophy

2011/11/24 by Christian P. Robert, Robert, Christian P.
Arts and Humanities · Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Philosophy and History of Science

paper · doi:10.48550/arxiv.1111.5827

openalex publication_date 2011/11/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

Citations

• Fractional Bayes Factors for Model Comparison
• Lack of confidence in ABC model choice

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