  We present Kepler exoplanet occurrence rates inferred with approximate
Bayesian computation (ABC). By using the same planet catalogue, stellar sample,
and characterization of completeness and reliability as Bryson et al. (2020),
we are able to provide the first direct comparison of results from ABC to those
derived with the popular Poisson-likelihood method. For planets with orbital
periods between 50 and 400 days and radii between 0.75 and 2.5 $R_{\oplus}$, we
find an integrated occurrence rate $F_{0} = 0.596_{-0.099}^{+0.092}$ planets
per GK dwarf star. After correcting for reliability against astrophysical false
positives and false alarms, we find $F_{0} = 0.421_{-0.072}^{+0.086}$. Our
findings agree within 1$\sigma$ of Bryson et al. (2020), indicating that the
results are robust and not method-dependent.
