Your English writing platform
Discover LudwigExact(1)
In this work, part (ii) of design robustification for nonlinear models is considered, focusing on computational efficient and accurate estimation of the nonlinear propagated parameter probability distribution function (PDF) in an optimal control framework.
Similar(59)
One uses this approximation to propagate parameter samples from this time instant to the next.
In this step, we focus on how to propagate parameter and structural uncertainty through the LCC prediction model described in [18] via the possibility theory.
Once in a Monte Carlo-based framework, it becomes straightforward to couple the evaluation of intervention strategies with Bayesian procedures for performing on-line estimation of parameters of the underlying epidemic model, thereby propagating parameter uncertainty through to policy decisions.
We used probabilistic techniques to propagate parameter uncertainty throughout the model.
This technique propagates parameter and underlying modelling uncertainty through the model by means of first and second-order Monte Carlo simulation.
These results suggest that a significant proportion of forecasted output response uncertainty, including forecasted storage capacity, is propagated from parameter uncertainties.
This approach allows the uncertainties in the assessments of gametocyte density and mosquito infection rates (generated by different numbers of mosquitoes being dissected) to be taken into consideration, propagated into parameter posterior distributions.
At every time instant, one propagates parameter particles by sampling from the proposal pi(theta_{t+1}) = mathcal{N}left(theta_{t+1}|mu_{theta_{t}}, Sigma_{theta_{t}}right), (40).
Therefore, established approaches aim to scan the entire parameter subspace which is in a sufficient agreement with the experimental data to propagate the parameters confidence regions into confidence intervals for the model predictions.
A simple procedure is proposed to evaluate the uncertainty on binary interaction parameters propagated from the uncertainties present in the physical properties and equation parameters applied for their calculation using a simple cubic equation of state.
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