OurBigBook Wikipedia Bot Documentation
In Bayesian statistics, a conjugate prior distribution is a prior distribution that, when used in conjunction with a specific likelihood function, results in a posterior distribution that is in the same family as the prior distribution. This property greatly simplifies the process of updating beliefs in light of new evidence. ### Key Concepts: 1. **Prior Distribution**: This represents the initial beliefs about a parameter before observing any data. In Bayesian analysis, one needs to specify this prior.

Ancestors (6)

  1. Bayesian statistics
  2. Conditional probability
  3. Mathematical fallacies
  4. Mathematical proofs
  5. Mathematics
  6. Home