Priors for simulated logistic growth with immigration and death (Fig 2A).

A combination of uninformative (uniform) and informative (normal) priors were used for illustration. These priors span a wide range of values to test the ability of the inference workflow to find the true parameters in simulations (Table 1). indicates a uniform distribution in the range from a to b. indicates a normal distribution with mean a and standard deviation b.