Definitions for prior probability
pri·or prob·a·bil·i·ty

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1. prior probabilitynoun

   The probability of an event obtained without the knowledge of occurrence of other events that bear on it.

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1. Prior probability

   A prior probability distribution, often simply called the prior, of an uncertain quantity is the probability distribution that would express one's beliefs about this quantity before some evidence is taken into account. For example, the prior could be the probability distribution representing the relative proportions of voters who will vote for a particular politician in a future election. The unknown quantity may be a parameter of the model or a latent variable rather than an observable variable. In Bayesian statistics, Bayes' rule prescribes how to update the prior with new information to obtain the posterior probability distribution, which is the conditional distribution of the uncertain quantity given new data. Historically, the choice of priors was often constrained to a conjugate family of a given likelihood function, for that it would result in a tractable posterior of the same family. The widespread availability of Markov chain Monte Carlo methods, however, has made this less of a concern.

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1. Prior probability

   In Bayesian statistical inference, a prior probability distribution, often called simply the prior, of an uncertain quantity p is the probability distribution that would express one's uncertainty about p before the "data" is taken into account. It is meant to attribute uncertainty rather than randomness to the uncertain quantity. The unknown quantity may be a parameter or latent variable. One applies Bayes' theorem, multiplying the prior by the likelihood function and then normalizing, to get the posterior probability distribution, which is the conditional distribution of the uncertain quantity given the data. A prior is often the purely subjective assessment of an experienced expert. Some will choose a conjugate prior when they can, to make calculation of the posterior distribution easier. Parameters of prior distributions are called hyperparameters, to distinguish them from parameters of the model of the underlying data. For instance, if one is using a beta distribution to model the distribution of the parameter p of a Bernoulli distribution, then:

How to pronounce prior probability?

1. Alex

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   Daniel

   British

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How to say prior probability in sign language?

Numerology

1. Chaldean Numerology

   The numerical value of prior probability in Chaldean Numerology is: 7

2. Pythagorean Numerology

   The numerical value of prior probability in Pythagorean Numerology is: 7

References

1. ^ Wiktionary
   https://en.wiktionary.org/wiki/Prior_Probability
2. ^ Wikipedia
   https://en.wikipedia.org/wiki/Prior_Probability
3. ^ Wikidata
   https://www.wikidata.org/w/index.php?search=prior probability