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prior probability
noun
The probability of an event obtained without the knowledge of occurrence of other events that bear on it.
Exact(57)
The flat prior probability considered all prevalence values from 0 to 1.0 to be equally probable.
That is, the prior "probability of me having blue" is the same as the prior "probability of you having red" and they are both ½.
A prior probability distribution is needed for this.
A prior probability distribution for a parameter of interest is specified first.
This is the prior probability of the hypothesis that the coin is counterfeit.
If I then told you that my 10 was red, you'd update your prior probability to 2/52.
A priori, before we've seen our data, so it's a prior probability.
This part over here, this probability of the parameters is called the prior probability.
We had a prior probability distribution, which was uniform with alpha and beta, right?
For censoring some additional prior probability distribution has to be assumed.
The Bayesian data reduction algorithm imposes a uniform prior probability mass function on discrete symbol probabilities.
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