We have previously discussed the importance of estimating uncertainty in our measurements and incorporating it into data analysis 1. To know the extent to which we can generalize our observations, we ...

Model assessment Model diagnostic plots, visual predictive checks and sampling importance resampling (SIR) methods were used to evaluate the goodness of fit, model estimation ability and stability.

A Bayesian particle Gibbs framework enables unbiased spike time inference with millisecond resolution and jointly estimates uncertainties in both spike timing and model parameters from fast calcium ...

In February 2019, Siemens EDA wrote an article 1 entitled “The Time Is Now for a Common Model Interface”. Since that time, we have continued to see increasing demand for aging analysis, not only in ...