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frequentist inference

frequentist inference

Jul 13, 20251 min read

Treats parameters as fixed but unknown. Uses procedures that have good properties when repeated.

  • Maximum likelihood estimation - find θ that maximizes P(X∣θ)
  • confidence intervals - ranges that contain true parameter with specified frequency
  • hypothesis testing - procedures to reject/accept claims about parameters

frequentism


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