Fisher himself defended fiducial distributions as distinct from both Bayesian priors and frequentist sampling distributions, warranting separate evaluation of its logical foundations.

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Bayesian priors(as one contrasting statistical approach): Starting beliefs or assumptions you have before looking at new data, used in a statistical method named after Thomas Bayes.
Fiducial distributions(as a statistical technique): A statistical method for turning data into probability statements about unknown values—think of it as a way to make educated guesses about what's true based on what you observe.
Fisher(statistical philosophy and methodology): Ronald Fisher was a famous statistician in the early 20th century who developed many methods for analyzing data and drawing conclusions from experiments.
Frequentist sampling distributions(as the other contrasting statistical approach): A statistical approach based on imagining what would happen if you repeated an experiment many times, looking at patterns in those repetitions.

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