ML estimation recovers loudness curves from sparse trials without outlier removal or shape assumptions

Evidence

The ML estimate of a listener’s loudness perception based on this lower number of experimental trials is able to more accurately predict a listener’s underlying CLS function, without removing outliers or using assumptions about the shape of the function to smooth the result. — Dijk, Pim van, Physiology, Psychoacoustics and…, 2565