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Speaking to the Trades Union Congress in London the Bank of England's chief economist, Andy Haldane, unveiled Bank research estimating the probability of a range of jobs being automated over the next few decades.
Whereas algorithmic methods result in binary outcomes (yes or no) for a single CoD, probabilistic methods determine the probability of a range of multiple causes.
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If we assume a low p, say p = 10−6, and an unbiased r (i.e., that of a well-mixed population, r = 0.5), then we can compare the ratio of probabilities for a range of values of c and m (see Fig. 1B).
Cost-effectiveness acceptability curves (CEAC) were generated by plotting these probabilities for a range of possible values of the ceiling ratio [ 30, 31].
Cost-effectiveness acceptability curves are presented by plotting these probabilities for a range of possible values of the ceiling ratio [ 21].
Cost-utility acceptability curves are presented by plotting these probabilities for a range of possible values of the ceiling ratio [ 57].
Estimates from Bayesian models are distributions (termed posterior distributions) that represent the probability of each of a range of plausible values being true for the variable being modeled.
Fig. 7 shows the probability of exceeding a range of cumulative ash loads at each of the nine sites of interest (an exceedance probability curve).
Also, sensitivity analysis can be undertaken to assess the effect of a range of prior probabilities on the TRP.
19 The elicitation is typically used to construct a Bayesian 'prior' in the form of a 'density' of prior probabilities over a range of parameter values.
The review documents the impact of a range of elements on the probability of exposure to sexual exploitation and abuse.
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