1 code implementation • 7 Jan 2022 • Michael Pearce, Elena A. Erosheva
We propose the Mallows-Binomial model to close this gap, which combines a Mallows' $\phi$ ranking model with Binomial score models through shared parameters that quantify object quality, a consensus ranking, and the level of consensus between judges.
no code implementations • 29 Nov 2017 • Yen-Chi Chen, Y. Samuel Wang, Elena A. Erosheva
Variational inference is a general approach for approximating complex density functions, such as those arising in latent variable models, popular in machine learning.
1 code implementation • 29 Dec 2015 • Y. Samuel Wang, Ross Matsueda, Elena A. Erosheva
In this article, we consider modeling ranked responses from a heterogeneous population.
Methodology Applications