PROBABILITY. That which is likely to happen; that which is most consonant to reason; for example, there is a strong probability that a man of a good moral character, and who has heretofore been remarkable for truth, will, when examined as a witness under oath, tell the truth; and, on the contrary, that a man who has been guilty of perjury, will not, under the same circumstances, tell the truth; the former will, therefore, be entitled to credit, while the latter will not.

A Law Dictionary, Adapted to the Constitution and Laws of the United States. By John Bouvier. Published 1856.

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References in periodicals archive

Assuming that the prior probability P(S[C.sub.k]) follows a uniform distribution, Formula (7) can be simplified as:

A co-occurrence region based Bayesian network stepwise remote sensing image retrieval algorithm

The prior probability P([H.sub.0]) of every year was shown in Table 1.

A Maximum Entropy Multisource Information Fusion Method to Evaluate the MTBF of Low-Voltage Switchgear

If the prior probability of each focal element can not be obtained accurately and any focal element has no advantage in the prior knowledge, denoted by P([a.sub.1]) = P([a.sub.2]) = L = P([a.sub.n]), the absolutely right probability of the reasonable evidence source can be calculated as follows:

An Evidence Fusion Method with Importance Discounting Factors based on Neutrosophic Probability Analysis in DSmT Framework

For the remaining M-N feature which did not exceed the threshold of signal type i, we update the prior probability by the following equation:

Two Stage Data Fusion of Acoustic, Electric and Vibration Signals for Diagnosing Faults in Induction Motors

(57.) When the prior probability is already near 1, neither strong nor weak evidence will make much of a difference.

Digging into the foundations of evidence law

Bayesian learning starts with some initial information about an event X which enables the researcher to estimate the probability of event X occurring; in turn, in the next period, if additional or better information becomes available a new probability is estimated (the posterior probability) given the probability estimated in the previous period (the prior probability) and so forth for any n periods.

In search of the criterion standard test in diagnostic testing

Here, [[pi].sub.0] is the prior probability from the perspective of the DM that the defendant is guilty, and 1 - [[pi].sub.0] is the corresponding prior probability that the defendant is not guilty.

Likelihood Ratio as Weight of Forensic Evidence: A Closer Look

One specifies the prior probability for the modes, and the other defines that there are elements, representing the monitor outputs, in the observation vector which are equally distributed under different modes.

A Bayesian Approach to Control Loop Performance Diagnosis Incorporating Background Knowledge of Response Information