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To test the results, in silico experiments have been performed by simulating new data from the true model and determining the Bayes factor change upon including this data.
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Our simulation procedure, designed to test the effectiveness of case-cohort methods compared to those utilising the full cohort, is as follows: 1) A new realisation of the full cohort is generated by simulating new outcome data as described above.
That is, one can measure parameters from data, or use the measured parameters to simulate new data.
She will discuss the implications of forecasting and simulating new renewable production, based on data of wind and solar availability.
Meanwhile, by assuming a modest heritability (0.05) for each trait at a middle stage of growth, we re-scaled values which were used to simulate a new data set.
The size effect of any genetic flow, if observed, could be further assessed by simulating data under different models and comparing simulated data summaries with the observed data.
To this end, we created 57 simulated subjects by simulating task data at 57 random points in the theta phi parameter space, and fit our model to these fake subjects (1000 iterations of the fitting algorithm per simulated subject, best fit selected).
They will do this by simulating data and statistically analyzing errors.
We demonstrate its use by simulating a new multiscale model of the Medium Spiny Neuron of the Neostriatum.
... We evaluate the model by simulating the empirical data collected on normal human subjects using the Attentional Network Test (ANT).
This is done by generating new data by sampling and simulating from the posterior distribution, and then comparing the resulting distribution of goodness-of-fit (GOF) with the GOF from the experimental data [ 11, 50, 61].
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