empirical probability


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empirical probability

[em′pir·ə·kəl ‚präb·ə′bil·əd·ē]
(statistics)
The ratio of the number of times an event has occurred to the total number of trials performed. Also known as a posteriori probability.
References in periodicals archive ?
Forth is keener on the ebu gogo's empirical probability, and the remainder of the chapter is concerned with report-like recounting of minute detail of different versions of the same narrative, comparison with different versions of related narratives, and analysis based on ethno-linguistic material and genealogical calculations as to when this event took place: before, after, or simultaneously with a volcanic eruption in 1830.
Examples include Good and Mayer (1975) and Chamberlain and Rothchild (1981); see Gelman, Katz, and Bafumi (2004) for a review of such methods and their relation to computing the empirical probability of decisiveness.
Assumption 4, which implies that the distribution of the default time [tau] will remain the same under the empirical probability measure P and the martingale measure Q, is required to allow the use of databases containing information about default probabilities in our empirical analysis.
The scientists propose the curious difference between pigeon and human behaviour might be rooted in the difference between classical and empirical probability.
In empirical probability, one makes predictions after tracking outcomes over time.
For the solution of our empirical data-based model, the transformation of the empirical probability measure to the equivalent martingale measure is done via CAPM risk adjustment (see Ingersoll, 1987, chapter 4).
When appropriate, activities should require students to run simulations to construct empirical probability distributions.
These proportions then were used as x coordinates (delays and oddsagainst) and y coordinates (subjective values) to construct a graph of the empirical temporal discounting function and a graph of the empirical probability discounting function for each individual.

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