The likelihood function is a fundamental concept in statistical inference and is used to estimate parameters of a statistical model. It measures the probability of observing the given data under different parameter values of the model.

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  1. Bayesian statistics
  2. Conditional probability
  3. Mathematical fallacies
  4. Mathematical proofs
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