Sentence examples for models would generate from inspiring English sources

One could imagine that other models would generate somewhat different results.

Having banks in models would generate shocks from within the system.The world's big central banks are interested in these new ideas, although staff economists are reluctant to abandon existing "industry-standard" models.

Another interesting avenue for future research are multi-period settings as several interesting tax-related issues such as depreciation schedules, tax loss carry-forwards, and deferred taxes arise only in multi-period settings.33 As many decisions with respect to these issues are delegated to managers, we believe that multi-period models would generate new insights.

In addition, a generalized model would generate estimates of (co variance components on a latent scale that would not readily be combined with estimates of selection gradients to predict the response to selection (Δ z ¯ ).

Lib Dem policy chiefs said they estimated their model would generate revenues and savings at the higher end of the IESR range.

"The model would generate tax revenues while respecting the privacy of bank clients and it would represent an efficient alternative to a system of automatic information exchange," Urs P. Roth, chief executive of the Swiss Bankers Association, said at a news conference.

"Through licence fees, calculated as a percentage of turnover, the Brighton Model would generate substantial revenues for the local authorities and go some way towards addressing the crisis in local government finance brought about by the ever-reducing grant from central government".

The model would generate false positives and negatives but would also be less prone to overfitting.

We hypothesized that poset modeling would generate interpretable and sufficiently detailed cognitive phenotypes with clearly differentiated rates of conversion from MCI to AD.

Following [ 17], we define the score distribution Q M,  s) as the probability that the background model would generate a word ω with the exact score s.

Instead of generating a false positive for every patient exhibiting a fever but not having the flu, the more complex model would generate false positives only for patients having a larger number of factors similar to the symptomatic training set.