effective sample size 1empirical validation 1outcome noise 1performance evaluation 1skill attribution 1
From the 1 of 3 linked papers with an AI index.
3 papers
econ.GN2026
Lucky or Good? Outcome Noise, Effective Sample Size, and the Attribution of Skill
Karl T. Ulrich
The paper develops a framework that uses outcome noise and effective sample size to determine when outcome records reliably indicate individual skill, and recommends population‑lev…
q-fin.GN2026
Dead Reckoning: Counting Your Customers Who Never Say Goodbye
Karl T. Ulrich
Firms in non-contractual commerce face the challenge of knowing how many customers they actually have because customers can stop buying without ever saying they have left. Buy-Till…
q-fin.GN2026
The Satoshi Overhang: Why the Bear Case is Bounded
Karl T. Ulrich
Renewed attention to the identity of Bitcoin's pseudonymous creator has revived an old worry: that the roughly 1.148 million BTC mined by Satoshi and never moved represent a major…