Sentence examples for set of prior from inspiring English sources

Stochastic interpolation using data from the meteorological and hydrological networks were used to produce a set of prior digital maps of precipitation, actual evapotranspiration and runoff.

But more important than any set of prior experiences is a boundless curiosity to understand how the past shapes understanding in the present and how we can learn more about designing effective educational programs.

Even if we were immortal and had unlimited resources, we could not have an alternative research project going on for every definable set of parameters and questions, and every set of prior probabilities for the answers.

Both the physical properties and geometry of the multilayer deep model were well constrained by a wide set of prior information obtained by surface mapping, geophysical logs and seismic sections.

The measures – the ultimate U-turn for a government that once pledged to eradicate austerity – are the latest in a set of "prior actions" Athens must take to complete an economic review that will unlock desperately needed bailout funds to avert default.

In addition, we find that the university diversity premium (the degree to which knowledge inflows used by universities are drawn from a more widely distributed set of prior art holders than those used by firms) also declined by more than half.

Consider a market model under a set of priors ({mathcal {P}}).

We do that by showing that set of priors ({mathbb {Q}}in {mathcal {P}}) for which S is a strict local martingale cannot be a singleton.

For this reason, some conditions have to be enforced both on the set of priors and on the random variables we take into account.

The same formulation can be used in the more general framework with semimartingale laws for the canonical process, but working under a saturation property for the set of priors (cf. Possamaï et al. 2018, Definition 5.1).

According to the complete class theorem (see e.g., [34]), there is always at least a set of priors and loss functions that can explain any observed behaviour.