Mafaz Mohammed Nadherssa

Robust Monotone Ratings: A Bayesian, Linear-Time Scheme for Massive Ranked Competitions

This paper introduces a computer science approach to large-scale skill estimation that unifies probabilistic modeling with algorithmic efficiency. We present a Bayesian rating framework that models skills, performances, and ranked evidence, deriving closed-form MAP updates and a pseudodiffusion mechanism for temporal s...