activity
20192026
most citedBayesian Hierarchical Factor Regression Models to Infer Cause of Death From Verbal Autopsy Data

10 citations · 11 across the 4 of their papers we have counts for

collaborators

5 papers

astro-ph.GA2026★ 1 cited

Emulator-Based Inference of Cosmological Subgrid Models

Nesar Ramachandra, Nicholas Frontiere, Michael Buehlmann +4

The formation of structure in the Universe at large scales is dominated by gravity, with baryonic physics becoming significant at scales. To capture the impact of b…

stat.AP2025

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra

Stephen A. Walsh, Annie S. Booth, David Higdon +3

Understanding the structure of our universe and the distribution of matter is an area of active research. As cosmological surveys grow in complexity, the development of emulators t…

astro-ph.CO2024

Bayesian "Deep" Process Convolutions: An Application in Cosmology

Kelly R. Moran, Richard Payne, Earl Lawrence +7

The nonlinear matter power spectrum in cosmology describes how matter density fluctuations vary with scale in the universe, providing critical insights into large-scale structure f…

astro-ph.CO2023

Cosmic-Enu: An emulator for the non-linear neutrino power spectrum

Amol Upadhye, Juliana Kwan, Ian G. McCarthy +4

Cosmology is poised to measure the neutrino mass sum and has identified several smaller-scale observables sensitive to neutrinos, necessitating accurate predictions of neutri…

stat.AP2019★ 10 cited

Bayesian Hierarchical Factor Regression Models to Infer Cause of Death From Verbal Autopsy Data

Kelly R. Moran, Elizabeth L. Turner, David Dunson +1

In low-resource settings where vital registration of death is not routine it is often of critical interest to determine and study the cause of death (COD) for individuals and the c…