Conditioning, Likelihood, and Coherence: A Review of Some Foundational Concepts

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Calibrated Bayes (2006, background): “In a recent discussion of these ideas, Robins and Wasserman (2000) argued for reexamination of the likelihood principle in the context of an infinite-dimensional example described by Robins and Ritov (1997).”
Martingale posterior distributions (2021, background): “Extensions of coherence to forecasting are given in Lane and Sudderth (1984); Berti et al. (1998), and more examples of coherence in general can be found in Robins and Wasserman (2000); Eaton and Freedman (2004).”
Valid P-Values Behave Exactly as They Should: Some Misleading Criticisms of P-Values and Their Resolution With S-Values (2019, background): “…ratios to counterfactual data reflects an information loss which can be extreme in high-dimensional problems (where likelihoodbased procedures may provide no consistent inference yet valid P-values can be constructed from the full sampling distribution; see Robins and Wasserman 2000, sec.”