Sentence examples for a prior mode from inspiring English sources

τ1 can be chosen to result in a prior mode at θ⋆ and τ2 can be chosen to result in a prior mode at some level of difference in the response rate that is of interest to the study (e.g., 0.1).

We chose τ1 = 0.06 and τ2 = 0.015 to correspond with a prior mode at 0.3 and a value of interest, the between-dose difference in response rate of 0.1.

By default, that is, if the user does not specify these parameters, BGLR assigns mildly informative priors with d f =5 and a scale parameter that gives a prior mode, S d f + 2, that obeys a prior variance partition where 50% of the variance of the liability score corresponds to error terms, and the remaining 50% to the random effects included in the model.

In the fully Bayesian treatment, we may choose H so that p (ω   | H ) has a prior mean or prior mode in the neighborhood of ω 0. This incorporates prior information into the model but in a more flexible way than heritability-based rules.

A sampling sequence for a planar humanoid robot constrained at the feet, with hard joint limit, collision, and stability constraints and a prior whose mode is a standing-up configuration.

As a subsequent mode of delivery is strongly influenced by the prior mode of delivery, we restricted the analysis to nulliparous women (158 998 births).

The bank copes by choosing reaction coefficients close to the private sector׳s prior mode, thereby sacrificing long-term performance in exchange for achieving lower transitional volatility.

The prior mode (most probable) value for the sensitivity of the ELISA was considered to be 0.96, and the 5th percentile 0.75, with a corresponding transformed distribution beta a, b) of beta(13.44, 1.52).

If the scale is NULL, its value is chosen so that the prior mode of the residual variance matches the variance of phenotypes times 1-R2 (supportingtinformationtion, Section A of File S1, for further details).

Under M2, we assume θ1 ∼ Uniform 0,1) and θ2 ∣ θ1 ∼ π rI (θ2; θ1, k = 1, ν = 2, τ2) I(θ1 < θ2 < 1) with τ2 chosen so that the prior mode is at some value of the difference between θ2 and θ1 that is of interest to the study, say 0.1.

Thus new media are highly reconfigurable and doubly transformative: they achieve a transformation of prior modes of transformation.