Sentence examples for equal to the prior from inspiring English sources

The DR is what is usually thought of as the likelihood ratio in the odds version of Bayes' theorem, according to which the posterior odds of guilt are equal to the prior odds of guilt multiplied by the likelihood ratio.

Assuming importance density to be equal to the prior density, weight update is recursively computed as w t j ∝ w t - 1 j p z t | x t j. (4).

If i and j were independent and characterized solely by their respective prior probabilities P i and P j, the expected conditional probabilities should be equal to the prior, i.e. P expected ( x j ( t ) = 1 | x i ( t − 1 ) = 1 ) = P j and the distribution of conditional probabilities should have a standard deviation of σ = P j ( 1 − P j ) / N i.

Axis ranges have been set equal to the prior ranges.

The parameter g controls the expected size of the regression parameters β hi, and is approximately equal to the prior variance of β hi / SE (β ^ hi ), where β ^ hi is the OLS estimator.

This is only equal to the expectation of the prior if the lower limit of the prior is zero.

In [10], a long-term channel quality measure is used for cell selection, and in [11] the cell selection metric is a wideband short-term channel quality, equal to the averaged SINR prior to receiver processing.

The Disease Activity Score (DAS28) was assessed at the same time points excluding the time point just after the first infusion (as this DAS-score is equal to the DAS-score prior to the first infusion).

Thus, after accumulating increments from a symmetrical zero-centred stable distribution, the value of an evolving trait is always probabilistically distributed according to a stable distribution with mean equal to the trait value prior to accumulation and with scale proportional to the number of increments, or in phylogenetic parlance the branch length.

A new insight is the concept of independence – the likelihood of the conjunctions of features (i.e. texture and reward location) was equal to the product of the prior likelihoods of representing either feature separately.

The divergence times are in coalescent units relative to the size of a constant reference population, which I denote θ C, that is equal to the expectation of the prior on the size of the descendant populations (9) θ C = E (θ D ), Given the size of the descendant populations are iid as θ D 1 ∼ Gamma (a θ D, b θ D ) and θ D 2 ∼ Gamma (a θ D, b θ D ), this becomes (10) θ C = a θ D b θ D.