a lower interface level user might want to convolve other timeseries from the fitted infections, e.g., one might be interested in the number of infected people at time t for a compartmental model, so one needs to convolve from infection with I compartment dwelling time distribution. Ideally, this needs be a stochastic realisation from the compartment dwelling time distribution, so not the deterministic expectation convolution we already developed.
a lower interface level user might want to convolve other timeseries from the fitted infections, e.g., one might be interested in the number of infected people at time t for a compartmental model, so one needs to convolve from infection with I compartment dwelling time distribution. Ideally, this needs be a stochastic realisation from the compartment dwelling time distribution, so not the deterministic expectation convolution we already developed.