Sentences with phrase «exact match method»

There're tons of different robots, which submitting resumes using keyword exact match method and so on..

Not exact matches

The method you'll read here for making sourdough starter isn't an exact match for the one you read on another site, or in a cookbook, or in your great - grandma's diary.

By contrast, both an objective Bayesian method using Jeffreys» prior and the SRLR method will provide exact probability matching whatever distribution of sample ages the process that actually generated the sample produces.

The key point here is that the objective Bayesian and the SRLR methods both provide exact probability matching whatever the true calendar date of the sample is (provided it is not near the end of the calibration curve).

How do the SRLR and objective Bayesian methods provide exact probability matching for each individual calendar date?

Demonstrating that Bayesian inference using Jeffreys prior and inference using likelihood ratios gives exact probability matching and hence accurate CIs, whereas subjective Bayesian methods don't except in a special, unrealistic, case, shakes them up a bit and hopefully makes them think again.

For both variants of the uniform prior subjective Bayesian method, probability matching is nothing like exact except in the unrealistic case where the sample is drawn equally from the entire calibration range — in which case over-coverage errors in some regions on average cancel out with under - coverage errors in other regions, probably reflecting the near symmetrical form of the stylised overall calibration curve.