Elena Aleksandrovna Erosheva is a Russian-American statistician and social scientist whose research applies Bayesian hierarchical modeling and latent variable models to problems in the social, behavioral, and health sciences.
[2] Her dissertation, Grade of Membership and Latent Structure Models with Application to Disability Survey Data, was supervised by Stephen Fienberg.
For 2018–2019 she held the International Chair in Data Science at Côte d'Azur University in France.
[6] Erosheva and her coauthors won the 2013 Mitchell Prize of the Section on Bayesian Statistical Science of the American Statistical Association and the International Society for Bayesian Analysis for their work on correlations between age and criminal behavior.
[2][7] Other topics in her research have included racial bias in peer review of National Institutes of Health grants,[8] and negative correlations between teen pregnancy, delinquency, and drug use.