Sentences with phrase «provide exact probability»

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

Since they provide exact probability matching for each individual calendar date, they are bound to provide exact probability matching whatever probability distribution for calendar date is assumed by the drawing of samples.

Jeffreys» prior would in fact provide exact probability matching — perfect agreement between the objective Bayesian posterior cumulative distribution functions (CDFs — the integrals of PDFs) and the results of repeated testing.

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).

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.

Not exact matches

I do not suggest exact stop placements or targets as these are very arbitrary and up to each individual, I provide traders with a guide for stops and targets, my main emphasis is on high - probability entries.