The phrase "a prior around" is not correct and does not convey a clear meaning in written English.
It is unclear when it could be used due to its lack of clarity and grammatical structure.
Example: "I need to establish a prior around the project timeline." (This example is not valid due to the phrase's incorrectness.)
Alternatives: "a prior estimate" or "a prior agreement."
A prior mean of around 1 gives a good balance of power to detect linked treatments and non-linked treatments.
Patients who reported visiting the ER because they were unable to make an appointment elsewhere, as well as patients reporting that their regular doctor refused to attend to them without a prior appointment were around 40% more likely to use the ER inappropriately.
Use of a shrinkage prior effectuates (Bayesian) shrinkage: (posterior) estimates of the feature-specific log-fold changes are shrunken towards the overall mean log-fold change by using a prior that is concentrated around this mean.
Each fossil calibration point provided a "relaxed" minimum divergence time estimate (see above) and assigned a prior with a normal distribution around a mean that was set to a time corresponding to the most recent age of the stratigraphic level estimated for the fossil based on the relevant literature.
Prior to ART, around 25%40%% of infants became infected by HIV from their mother, usually around birth or through breast-feeding.
However, within decades the Priory was abandoned, with evidence of Thomas de Baugy being the final Prior around 1560.
In the week prior, around 500 drum fish were found dead in the Arkansas River, in the same location where 83,000 dead fish were discovered a month earlier on December 29th, AP reports.
Performance comparison between the ReDif-PF and the selective gossip algorithms assuming a Gaussian prior distribution around the initial emitter state in the third scenario with known sensor noise variances.
Performance comparison between the ReDif-PF and the consensus-based algorithms assuming a Gaussian prior distribution around the initial emitter state in the first scenario with unknown sensor noise variances.
Performance comparison between the ReDif-PF and the MCDPF algorithms assuming a Gaussian prior distribution around the initial emitter state in the third scenario with known sensor noise variances.
