The statistical probability that a hypothesis is true calculated in the light of relevant observations. Compare with prior probability.
- They implemented a full Bayesian method for calculating posterior probabilities using Markov Chain Monte Carlo.
- To summarize: the paradox arises because you use the prior probabilities to calculate the expected gain rather than the posterior probabilities.
- The expectations are actually obtained using the posterior probabilities rather than the prior probabilities.
For editors and proofreaders
Syllabification: pos·te·ri·or prob·a·bil·i·ty
Definition of posterior probability in:
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