Definition of posterior probability in English:

posterior probability

noun

The statistical probability that a hypothesis is true calculated in the light of relevant observations.
Example sentencesExamples
- They implemented a full Bayesian method for calculating posterior probabilities using Markov Chain Monte Carlo.
- Within the Bayesian framework, the posterior probability is obtained from the likelihood function and the prior probability.
- The expectations are actually obtained using the posterior probabilities rather than the prior probabilities.
- If the null hypothesis is rejected, the program calculates a posterior probability for functional divergence for each position in the alignment.
- To summarize: the paradox arises because you use the prior probabilities to calculate the expected gain rather than the posterior probabilities.

Definition of posterior probability in US English:

posterior probability

noun

The statistical probability that a hypothesis is true calculated in the light of relevant observations.
Compare with prior probability
Example sentencesExamples
- To summarize: the paradox arises because you use the prior probabilities to calculate the expected gain rather than the posterior probabilities.
- They implemented a full Bayesian method for calculating posterior probabilities using Markov Chain Monte Carlo.
- If the null hypothesis is rejected, the program calculates a posterior probability for functional divergence for each position in the alignment.
- The expectations are actually obtained using the posterior probabilities rather than the prior probabilities.
- Within the Bayesian framework, the posterior probability is obtained from the likelihood function and the prior probability.

单词	posterior probability
释义	Definition of posterior probability in English: posterior probability noun The statistical probability that a hypothesis is true calculated in the light of relevant observations. Example sentencesExamples They implemented a full Bayesian method for calculating posterior probabilities using Markov Chain Monte Carlo. Within the Bayesian framework, the posterior probability is obtained from the likelihood function and the prior probability. The expectations are actually obtained using the posterior probabilities rather than the prior probabilities. If the null hypothesis is rejected, the program calculates a posterior probability for functional divergence for each position in the alignment. To summarize: the paradox arises because you use the prior probabilities to calculate the expected gain rather than the posterior probabilities. Definition of posterior probability in US English: posterior probability noun The statistical probability that a hypothesis is true calculated in the light of relevant observations. Compare with prior probability Example sentencesExamples To summarize: the paradox arises because you use the prior probabilities to calculate the expected gain rather than the posterior probabilities. They implemented a full Bayesian method for calculating posterior probabilities using Markov Chain Monte Carlo. If the null hypothesis is rejected, the program calculates a posterior probability for functional divergence for each position in the alignment. The expectations are actually obtained using the posterior probabilities rather than the prior probabilities. Within the Bayesian framework, the posterior probability is obtained from the likelihood function and the prior probability.
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