# A Priori Probability

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## A Priori Probability

In statistics, the use of logic to estimate the probability of an event. For example, when considering a company's earnings, the company can make a profit, suffer a loss, or break even in a given year. All other things being equal, there is a 1/3 a priori probability of each scenario occurring.
References in periodicals archive ?
variables, the prior probability that the source was in the database (p)
Let P denote the prior probability that agent i wins.
To assign the prior probability for the source parameters [theta], it is necessary to state explicitly what is known about these parameters.
The reason is that the prior probability of each service node is with the same interval.
Using logit, the proportion of failed banks in the sample must be the same as the proportion in the population to account for the prior probability of failure.
Critics, however, point to the need for a prior probability P(A 11) in order to use the theorem, and claim that its value is simply a 'subjective' choice.
The second case is that B does not know enough about C's portfolio weights, and B's beliefs cannot be described by a unique prior probability distribution.
You also need to know how often it eats- in order to calculate the prior probability of being hungry.
In the more common situation where the patient's symptoms do not provide an obvious diagnostic decision path, physicians may have to put more weight onto their prior probability of disease, or "priors" (Medicine 2003).
0]([phi]) is the prior probability density function for the unknown parameter [phi] (prior to obtaining new evidence E), L(E | [phi])is the likelihood function.
k] is observable, then the prior probability of '[A.
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