Sentence examples for historical leverage from inspiring English sources

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Historical leverage ratios do not tell us that for every additional dollar OPIC spends on gas the private sector will spend four.

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Bayesian methods allowed us to fully leverage historical data along with data observed as the study was ongoing to calculate predictive probabilities of patient response to treatment without experiencing a specified side effect.

The prediction models leverage historical tweets to predict crime rate increases or decreases for the prospective timeframe.

The 'body of knowledge,' which has long been lacking in the industry, too, is coming to the fore: how to gather, disseminate, and leverage historical data on projects of scale and complexity?

Future studies should try to leverage historical census data to replicate the analysis conducted here, but for a longer time period.

10 These analyses leverage historical model-based approaches that were informed with cytotoxics and targeted agents and represent a pragmatic option for application to CIT.

Thus, fine mapping has been widely used to pinpoint QTL more accurately, i.e. to a region of <1cM containing <25 genes, but this strategy requires the investment of large amounts of time and resources and fails to leverage historical data effectively.

The behavioral targeting leverages historical users' behaviors in order to select for display the ads which are most related to the users' preferences.

Towards this direction, each SU leverages historical sensing data, and thus, the proposed methodology does not actually intervene with the SU operation, nor does it decrease the performance of their devices.

Aiming to become a tech-friendlier city, not the next Silicon Valley, and solving brain-drain issues by encouraging tech entrepreneurship that leverages historical capabilities fueled Winnipeg's success and provides a replicable model for other cities to follow.

How can online businesses leverage vast historical data, computational power, and sophisticated machine-learning techniques to quickly analyze and forecast demand, and to optimize pricing and increase revenue?

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