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We show that Bayesian statistical experimental design is a very useful approach to determine the optimal probe size using a certain amount of prior knowledge about the sample.
Prior knowledge about the sample space Ω seems to pose more a problem in climate science than in energy economics.
The algorithm uses prior knowledge about the sample phenotypes.
In a fully Bayesian approach to clustering problems of this type, our knowledge about the sample partition is represented by a probability distribution on the space of possible sample partitions.
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Researchers' knowledge about the sampling frame facilitated the continuous examination of the coverage and representativeness of the remaining sample while relying on a mix of ICT tools to follow respondents.
An unsupervised analysis uses no prior knowledge about how the samples are related.
These datasets are derived from the samples for which the knowledge about the sex of the sample donor was available.
The difficulties in identifying the abortive pathogen arise from the wide range of potential pathogens, the ubiquity of pathogens such as Q fever or salmonellosis, and veterinarians' lack of knowledge about the type of samples to collect for the analyses.
Nonetheless, it can be helpful to have automated heuristic rules to help guide the analyst in making the appropriate choice for K, even if the resulting inferences need to be carefully interpreted within the context of prior knowledge about the data and sampling scheme.
With the knowledge about the classes of individual samples we determine the clusters in the projection plane and consequently obtain the coordinates of the centroid (gravity point) of a particular cluster.
When using online social networks, participants frequently communicated with others about videos; drinking, drugs and parties; sex; love and relationships; being homeless; and school experiences.> > Table 2 displays the results of overall sexual risk behaviors and knowledge about HIV among the sample.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com