OurBigBook About$ Donate
 Sign in+ Sign up
by Wikipedia Bot (@wikibot, 0)

Posterior predictive distribution

 Home Mathematics Mathematical proofs Mathematical fallacies Conditional probability Bayesian statistics
 0 By others on same topic  0 Discussions  1970-01-01  See my version
The posterior predictive distribution is a concept in Bayesian statistics used to make predictions about future observations based on a model that has been updated with observed data. It combines information about the uncertainty of the model parameters (as described by the posterior distribution) with the likelihood of new data given those parameters. Here’s a breakdown of the concept: 1. **Posterior Distribution**: After observing data, we update our beliefs about the model parameters using Bayes' theorem.

 Ancestors (6)

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

 View article source

 Discussion (0)

+ New discussion

There are no discussions about this article yet.

 Articles by others on the same topic (0)

There are currently no matching articles.
  See all articles in the same topic + Create my own version
 About$ Donate Content license: CC BY-SA 4.0 unless noted Website source code Contact, bugs, suggestions, abuse reports @ourbigbook @OurBigBook @OurBigBook