Commentary

C. Liu and R. Martin (202x). Settle the unsettling. Comment on Gong and Meng's "Judicious judgment meets unsettling updating: Dilation, sure loss, and Simpson's paradox." Statistical Science. [pdf]

R. Martin (202x). Comment on G. Shafer's "Testing by betting: A strategy for statistical and scientific communication," Journal of the Royal Statistical Society, Series A. [pdf]

R. Martin, M. Balch, and S. Ferson (202x). Response to the comment ("Confidence in confidence distributions!") by Cunen, Hjort, and Schweder. [researchers.one]

L. Hong and R. Martin (202x). Discussion of "qCredibility" by O. Le Courtois, Variance: Journal of the Casualty Actuarial Society. [ssrn]

H. Crane, J. Guinness, and R. Martin (2020). Comment on the proposal to rename the R. A. Fisher lecture. Researchers.One.

R. Martin (2019). Discussion of "Nonparametric generalized fiducial inference for survival functions under censoring", by Y. Cui and J. Hannig. Biometrika.

H. Crane and R. Martin (2019). What is the purpose of peer review? Heterodox Academy Blog.

H. Crane and R. Martin (2018). In peer review we (don't) trust: How peer review's filtering poses a systemic risk to science. Researchers.One.

H. Crane and R. Martin (2018). Is statistics meeting the needs of science?. Researchers.One

H. Crane and R. Martin (2018). Academia's case of Stockholm syndrome. Quillette.

H. Crane and R. Martin (2018). The Researchers.One mission. Researchers.One.

R. Martin (2017). Invited comment on the article—"Uncertainty quantification for the horseshoe"—by S. van der Pas, B. Szabo, and A. van der Vaart. Bayesian Analysis.

L. Hong and R. Martin (2016). Discussion of "Credibility estimation of distribution functions with applications to experience rating in general insurance", by X. Cai, L. Wen, X. Wu, and X. Zhou. North American Actuarial Journal. [ssrn]

R. Martin and C. Liu (2014). Foundations of statistics, revisited. Invited comment on the article—"On the Birnbaum argument for the strong likelihood principle"—by D. Mayo. Statistical Science. [arXiv]