With variable not having a probability of 0.625 negative from SentiWordNet, the posterior Bayesian probability is 0.149.

Thus, using the Bayesian probability defined in Equation 9, we substitute the likelihood information p([x.sub.1], ..., [x.sub.C]|D) to p(D|[theta]) and the prior information [POL.sub.[phi]](w) to p([theta]).

To achieve this, we used Bayesian probability to estimate the probability of predation and the true value of the predated species given the best available information regarding the probability of predation.

In a nonspecific area of South Florida, a single successful python feeding (with a Bayesian probability of success estimated at 0.0005) results in a cost of $3,495.50 in current dollars.

Therefore, to guide decisionmaking, practitioners need to become more facile with using test performance characteristics, Bayesian probability revision, and probability thresholds.

Therefore, knowledge of test performance characteristics and the use of these data in Bayesian probability revision is important for practitioners.

It is not as if the

Bayesian probability kinematics could produce decisive verdicts on many actual scientific issues, and a similar thing can probably be said about the error-statistical approach when it comes to the high-level scientific decisions that methodologists like to discuss (see 'Levels in testing' above).

The Tabasco 2003 isolate grouped with 3 strains from 2001 and 2002 in Florida and Louisiana and more distantly with a New York isolate from 2000, with strong

Bayesian probability and bootstrap support; inclusion of the New York grouse strain was weakly supported (bootstrap and

Bayesian probability values <80%).

This is achieved through a combination of manual and automated spam analysis that includes real-time black lists, Lexical analysis tests, textual content characteristics, header information,

Bayesian probability techniques, Distributed Checksum Clearinghouse, centralised analysis and customer controlled lists.

Galileo's ARCHED hypotheses are 'clever techniques of persuasion'--the straightforward application of Bayesian probability. In such cases, 'counterinduction' is standard Bayesian induction applied to the history of science.

In such situations, mutual support by previously ill-supported hypotheses is rational: and so, in such situations, this form of 'counterinduction' is perfectly rational at least on the standards of the Bayesian probability calculus.