Leveraging neural networks to estimate parameters with confidence intervals
Nigel Mathias,
Lauren Weir,
Brandon Corbett
et al.
Abstract:This manuscript presents a proof of concept for the estimation of parameters in a bioprocess while providing reliable confidence intervals. Specifically, Bayesian inference is used to estimate the uncertainty in the prediction of a parameter due to the presence of measurement noise in the process. The resultant joint probability distribution is utilized to infer the confidence interval of the resultant estimates. This method is numerically applied using a technique known as nested sampling. This algorithm iter… Show more
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