Sentence examples for objective likelihood from inspiring English sources

When we evaluate risks we're often not thinking of the objective likelihood of a bad thing happening, but how terrible we will feel if it does happen and we did not take steps to prevent it.

Then the correct objective likelihood value is just P[e | h·c] = r (e.g. for r = 1/2).

The theorem establishes that under certain conditions (e.g., that there is an objective likelihood that the witness will testify that p, if p), one's posterior degree of belief based on testimony will reflect an objectively greater nearness to truth than one's prior degree of belief.

Non-TE Bayesians of the impermissivist strand often suggest that objective likelihood values concerning the outcome \ e\)—\(P e\mid h \wedge k)\)—can be specified for the competing hypotheses at issue quite apart from the fact that \ e\) may have already occurred.

Model parameters were optimized using the Solver tool in Excel 2010 (Microsoft Corp., Redmond, WA) to maximise the objective (likelihood value) using the Simplex LP solving method.

When the results of experiments are made public, say in scientific journals, only objective likelihoods should be reported.

Although likelihoods have a high degree of objectivity in many scientific contexts, it is difficult for belief functions to properly represent objective likelihoods.

Although the catch-all hypothesis may lack objective likelihoods, the influence of the catch-all term in Bayes' theorem diminishes as additional positive hypotheses are articulated.

The evaluation of the impact of objective likelihoods on agents' posterior probabilities depends on each agent's individual subjective prior probability, which represents plausibility considerations that have nothing to do with the evidence.

Royall's point is that neither the probability ratio nor probability difference will capture the sort of objective evidence required by science because their values depend on the "subjective" terms P(E) and P(H), and not just on the "objective" likelihoods PH(E) and P~H E).

There is a view, or family of views, called likelihoodism that maintains that the inductive logician or statistician should only be concerned with whether the evidence provides increased or decreased support for one hypothesis over another, and only in cases where this evaluation is based on the ratios of completely objective likelihoods.