The phrase "a prior that" is not standard or commonly used in written English.
It may be intended to refer to something that has been established or considered beforehand, but it lacks clarity and context.
Example: "In the discussion, we need to address a prior that was mentioned in the last meeting."
Alternatives: "a previous point that" or "an earlier statement that".
This suggests a prior that supports a visual inference to uniquely extend volumetric representations into regions where the form is not visible.
Although there is variability in scales of the explanatory variables, the large variance of this normal distribution results in a prior that is extremely diffuse and effectively allows the data alone to define the posterior distribution of the regression coefficients.
Regularization introduces a prior that imposes constraints in the STRF estimate and, under noisy conditions, the specific regularization used by the model can introduce biases in the estimates [4].
We translate the hypothesis into a prior that will bias the learned models.
It is then reasonable to assume a prior that will shrink the values of b ∗, in accordance with the singular values decay.
As shown in Figure A1B, this creates a prior that is monotone decreasing, removes the barrier, and results in posteriors that are more efficiently mixed.
Only a half-a-decade prior, that figure was in the single digits.
Deriving a transmission estimate based on Lemma 2 results in creating a centroid prior that is a function of the ellipsoid parameters.
Given a Bayesian network with structure G, parameters and the observations D, we define a structure prior that implies a prior probability on different graph structures, and a parameter prior, that puts a probability on different choice of parameters once the graph is given.
Gelman promoted a variance prior that is uniform over a broad range on the standard deviation scale [ 23].
Finally, it is not obvious how to translate back the combined information into a combined prior that could be used in an EM or Gibbs sampler-based algorithm.
