activity
20222026
most citedOptimal Conformal Prediction for Small Areas

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

stat.CO2026

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software

Madelyn Andersen, Elizabeth Bersson, Tamara Broderick

We systematically evaluate a suite of off-the-shelf variational inference (VI) software packages from the perspective of a standard practitioner. Using simple analytic benchmark mo…

stat.ME2025

Feature aware covariance estimation, with application to mixtures of chemical exposures

Elizabeth Bersson, Kate Hoffman, Heather M. Stapleton +1

The motivation of this article is to improve inferences on the covariation in environmental exposures, motivated by data from a study of Toddlers Exposure to SVOCs in Indoor Enviro…

stat.ME2023

Frequentist Prediction Sets for Species Abundance using Indirect Information

Elizabeth Bersson, Peter D. Hoff

Citizen science databases that consist of volunteer-led sampling efforts of species communities are relied on as essential sources of data in ecology. Summarizing such data across…

stat.ME2023

Bayesian Covariance Estimation for Multi-group Matrix-variate Data

Elizabeth Bersson, Peter D. Hoff

Multi-group covariance estimation for matrix-variate data with small within group sample sizes is a key part of many data analysis tasks in modern applications. To obtain accurate…

stat.ME2022★ 1 cited

Optimal Conformal Prediction for Small Areas

Elizabeth Bersson, Peter D. Hoff

Existing inferential methods for small area data involve a trade-off between maintaining area-level frequentist coverage rates and improving inferential precision via the incorpora…