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MMLU-Pro / 10425 / Which of the following points would Bayesians and frequentists disagree on?

Problem

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question

Which of the following points would Bayesians and frequentists disagree on?

category

computer science

options

  1. The use of probabilistic modelling for regression.
  2. The use of posterior distributions in a probabilistic model.
  3. The use of maximum likelihood estimation in determining parameters.
  4. The use of hypothesis testing in statistical inference.
  5. The use of empirical Bayes methods in estimating parameters.
  6. The use of frequentist methods in estimating population parameters.
  7. The use of a non-Gaussian noise model in probabilistic regression.
  8. The use of marginal likelihood in model comparison.
  9. The use of prior distributions on the parameters in a probabilistic model.
  10. The use of class priors in Gaussian Discriminant Analysis.

src

ori_mmlu-machine_learning

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Source and history

upstream_id / Original problem ID
10425
task_id
541281cd-86e7-5271-be7d-7c3b74f5899c
task_key
default--test--10425
task_revision_id
1
config / split
default / test

Official source

initial import