posterior probability मीनिंग इन हिंदी

उदाहरण वाक्य

1. Posterior probability is a conditional probability conditioned on randomly observed data.
2. MrBayes uses MCMC to approximate the posterior probabilities of trees.
3. Bayes theorem then shows that the posterior probabilities are proportional to the numerator:
4. As such, other methods have been put forwards to estimate posterior probability.
5. Taking the posterior probability and determining the prior probability.
6. What is important is the relationship between the loss function and the posterior probability.
7. This contribution is called the posterior probability and is computed using Bayes'theorem.
8. Posterior probabilities are after a fact is known.
9. The same posterior probability result can be obtained if one uses an un-normalized prior
10. One way to achieve this goal is to provide a credible interval of the posterior probability.