Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We propose a straightforward technique for mode inference in discrete data distributions which involves fitting a mixture of novel shifted-Poisson distributions. The credibility and utility of our approach is demonstrated through applications pertaining to loan default risk and inflation expectations.