The phrase "a weak prior" is correct and usable in written English.
It is typically used in statistical or Bayesian contexts to refer to a prior distribution that has little influence on the posterior distribution.
Example: "In this analysis, we opted for a weak prior to allow the data to drive the results more significantly."
Alternatives: "a loose prior" or "a non-informative prior".
Thus, in order to achieve a more interpretable model we impose a weak prior on global locations.
Clearly, a weak prior distribution would cause less bias than a strong prior in the event that the prior is misspecified.
To solve this problem of identifiability, we assumed a weak prior that favors linear movement in the 2D antigenic space (present in models 6 through 9; Table 1), with the slope of the linear relationship and the precision of the relationship incorporated into the Bayesian model (see 'Materials and methods').
Assuming a sufficiently weak prior, we thus obtain an approximate equality π (γ i j = 1, γ i k = 1 | D ) ≈ ρ 1 − ρ π (γ i j = 1, γ i k = 0 | D ).
This problem appears to affect methods using ML estimation (RSEM, Sailfish, Cufflinks, eXpress) or Bayesian methods using a very weak prior (Tigar2).
Home Market Freezes In June").. Thursday's jobs data was little better, as weekly jobless claims climbed to 406,000 from a revised 372,000 the weak prior.
Note that an informative (even if weak) prior model is introduced only at node 3, and not at the previous nodes.
Thus, there is weak prior evidence for an importance of this locus in MS. Earlier in 2013, a paper performing PBLA in MS using fastIBD was published by a group in Australia, reporting a peak at the end of chromosome 19.
Increasing levels of PAGs in all SRB and SLB heifers delivering a weak calf prior to parturition were recorded and followed the profiles found in SRB and SLB heifers with unassisted parturition (Fig. 3; right panels).
In some cases, the rug is secured by temporary stitches to prevent further unraveling in a weak area prior to repair.
For the Bayesian analysis, priors were predefined for the mean log odds ratio as a normal distribution with mean zero, and precision 0.001 representing weak prior information.
