Sentence examples for prior across from inspiring English sources

In data provided to us recently by 7Park, during the week when Snapchat celebrated Diwali with an "Our Story" feature, active users in the BRIC region spent 48.36 minutes per week in the app, up from 38.36 minutes the week prior, across 57.59 sessions, up from 47.71 sessions the previous week.

This analysis was based on an uncorrelated lognormal molecular clock and a Yule speciation prior across the tree.

It is likely that assuming a uniform prior across site classes, as GigaBayes does, is at least partly responsible for the variation in the degree to which different assumptions about sequencing error appear to affect different site classes.

Two independent runs of 90,000,000 states, sampling every 3,000 states, were completed for each analysis, using an uncorrelated lognormal relaxed clock (Drummond et al. 2006) and a linked Yule tree prior across the CR and protein-coding region partitions.

This coincides with the split between H. tanneri and the H. spinigularis/burgessi/davenporti clade.> BPP estimates of Theta show essentially stable mean and 95%% confidence intervals for all splits within the tree (e.g., θ from median gamma prior across nodes: ~ 0.003 (~0.0077, 0.007)).

Differences arose across treatments, across domains based on prior beliefs, across commitments to those beliefs, and across questions.

For ω1 and ω2 we assumed uniform prior distributions from 0 to 100, while θφ and θδ had uniform prior distributions from 0 to 3. We also investigated the effects of the prior distributions by using improper uniform priors across the whole real line (dflat in WinBUGS parameterization) for fixed effects and uniform priors from 0 to 100 for the standard deviations of the site effects.

Here, we develop a novel method, termed cognitive tomography, that can extract complex, multidimensional priors across tasks.

Using exponential priors on divergence-time and demographic parameters greatly increases the power of the M U s h a p e d model to detect variation in divergence times relative to M m s B a y e s, but it still has less power than the models with Dirichlet-process or uniform priors across divergence models.

Noble et al. (2009) have used model averaging to calculate a benchmark concentration, analogous to an EC, in a study of lung function and coal dust, using as weights Bayesian posterior probabilities with noninformative priors, across linear, square root, and quadratic models, with the selection of a set of covariates, such as height and weight, from among six possible ones.

"On a number of prior occasions across administrations, this authority has been used to postpone the application of new legislation when immediate application would have subjected taxpayers to unreasonable administrative burdens or costs," Iwry said.