Your English writing platform
Discover LudwigSuggestions(1)
Exact(15)
A Markov chain Monte Carlo technique with adaptive random-walk steps is employed to sample the model parameters for uncertainty quantification.
A fully Bayesian approach is adopted to sample the model parameters in the transformed space, and posterior inference is performed after inverse-transforming the regression coefficients back to the original data domain.
For the mid-depth sample, the model predicted a naphthalene concentration below the detection limit which agreed with the non-detectable level of naphthalene for this sample.
Concerning the entire sample, both the University B sample and the University C sample, the model fit indices of the two-factor structure, including RMSEA, CFI, and IFI, fell within the acceptable range.
For each sample, the model has been run for a wide range of temperature and pressure conditions, and the model was rigorously verified by comparison of the results estimated throughout the study with the results obtained from HYSYS and Peng Robinson equation of state.
Maximum entropy and similar approaches should benefit from the development of other strategies that better sample the model space.
Similar(45)
In this example sample, the model-assisted estimate of the standard error of the estimate of the population mean from the sample was 7775, much greater than the actual standard error over the 5000 simulations of 1769; such an over-estimation is inevitable when there is no substantial relationship between the target and auxiliary variables in the sample.
Despite the small size of the sample, the models in Tables 3 and 4 were all internally valid.
For all three sub-samples, the performance of the predictive models was similar to the whole sample: the models that were adjusted for prior cost performed the best.
For each patient in the validation sample, the models were used to compute the probability of IgAN.
Metropolis and Metropolis-Hastings are the two standard algorithms for sampling the model parameter space (the posterior).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com