Examples of 'posterior probability' in a sentence

Meaning of "posterior probability"

posterior probability: In statistics, this phrase refers to the probability of an event occurring based on prior knowledge or information
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  • The probability of an event given the knowledge of occurrence of other events that bear on it; P( A | B ) as contrasted to P( A ), where A is the sought event and B is the sign or symptom event.

How to use "posterior probability" in a sentence

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posterior probability
This is also known as the posterior probability.
Posterior probability is inferred from the parametric model.
This is called the posterior probability.
But the posterior probability when additively smoothed is.
Please go ahead and calculate the posterior probability.
Highest posterior probability of class membership.
The classification is achieved based on the appropriate posterior probability.
Posterior probability is a conditional probability conditioned on randomly observed data.
This is known as posterior probability.
The posterior probability can be written in the memorable form as.
And this is a posterior probability.
Posterior probability of association.
Although the posterior probability.
It subsequently classifies the test data according to the largest posterior probability.
Thus calculating a posterior probability for all such maps is infeasible.

See also

This would be the cell with the largest posterior probability.
The result is a posterior probability that each pixel belongs to each class.
The voting score was defined as the posterior probability of relapse.
The posterior probability is now increased in places that are consistent with this measurement.
The unknown coefficients in this method are determined by a maximum posterior probability technique.
A common scoring function is posterior probability of the structure given the training data.
One way to achieve this goal is to provide a credible interval of the posterior probability.
I actually get the correct posterior probability P of cancer given.
Notice that a major distinction between models is their way of introducing posterior probability.
Posterior probability of No.
Clusters are assigned by selecting the component that maximizes the posterior probability and.
In this case, a posterior probability can be calculated for each site in the alignment.
A classification rule then assigns X to the class dA with the maximal posterior probability.
And now we calculate the desired posterior probability for all 3 possible outcomes.
As such, other methods have been put forwards to estimate posterior probability.
Bayesian inference computes the posterior probability according to Bayes ' rule,.
So, we get the fact that the particles cluster around regions of higher posterior probability.
This contribution is called the posterior probability and is computed using Bayes ' theorem.
A rank-based weighting of index terms is proposed, and found to outperform posterior probability based weighting.
That 's our posterior probability we hold the fair coin after we observed H.
Children 's understanding of posterior probability.
And our posterior probability assignment for the double-headed coin theory would be about 99 percent.
As we discussed earlier, we can approximate the posterior probability using the following equations:.
Posterior probability distribution for the estimated number of dolphins, P, using near-shore.
This conditional probability is called the posterior probability of λ = 2, given the.
To estimate these posterior probability distributions, we made use of Bayes ' rule,.
We want the model ( hypothesis ) with the highest such posterior probability.
Using Bayes ' theorem, the posterior probability of belonging to group t is.
So, the additional information of a positive test only erased my posterior probability to 0.043.
So, in both cases, we compute the posterior probability non-normalized by omitting the normalizer B.
Posterior probability of RR > 1.
Definition = = The posterior probability is the probability of the parameters formula 1 given the evidence formula 2, formula 3.

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Examples of using Probability
In all probability the destination does not exist
This plan has a high probability of going south
The probability of execution and settlement is certain
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Examples of using Posterior
Posterior cranial fracture and subdural hematoma
Get your rank posterior off my spot
The posterior ribs were either broken or severed
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