Why adjust priors for the simplicity of data distributions?
D. R. Bickel, “An explanatory rationale for priors sharpened into Occam’s razors,” Working Paper, DOI: 10.5281/zenodo.1412875, https://doi.org/10.5281/zenodo.1412875 (2018). 2018 preprint
Lower the statistical significance threshold to 0.005—or 0.001?
D. R. Bickel, “Sharpen statistical significance: Evidence thresholds and Bayes factors sharpened into Occam’s razors,” Working Paper, University of Ottawa, <hal-01851322> https://hal.archives-ouvertes.fr/hal-01851322 (2018). 2018 preprint
“The Fiducialist Papers” archived in favor of “sIBEe”
The name of the website The Fiducialist Papers: Evidence and Likelihood was just broadened to Statistical Inference to the Best Explanation of the Evidence (sIBEe).
Pre-data insights update priors via Bayes’s theorem
D. R. Bickel, “Bayesian revision of a prior given prior-data conflict, expert opinion, or a similar insight: A large-deviation approach,” Statistics 52, 552-570 (2018). Full text | 2015 preprint | Simple explanation
How to adjust statistical inferences for the simplicity of distributions
D. R. Bickel, “Confidence intervals, significance values, maximum likelihood estimates, etc. sharpened into Occam’s razors,” Working Paper, University of Ottawa, <hal-01799519> https://hal.archives-ouvertes.fr/hal-01799519 (2018). 2018 preprint | Slides
