activity
20092026
most citedA comparison of statistical and machine learning methods for creating national daily maps of ambient PM concentration

99 citations · 165 across the 7 of their papers we have counts for

collaborators
Showing stat.APShow all

7 papers · 1 filter

stat.AP2025

Bayesian Source Apportionment of Spatio-temporal air pollution data

Michela Frigeri, Veronica Berrocal, Alessandra Guglielmi

Understanding the sources that contribute to fine particulate matter (PM) is of crucial importance for designing and implementing targeted air pollution mitigation strategi…

stat.AP2021

Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: an application to the American Community Survey

Marco H. Benedetti, Veronica J. Berrocal, Roderick J. Little

Understanding the effects of social determinants of health on health outcomes requires data on characteristics of the neighborhoods in which subjects live. However, estimates of th…

stat.AP2020

How Close and How Much? Linking Health Outcomes to Built Environment Spatial Distributions

Adam Peterson, Veronica Berrocal, Emma Sanchez-Vaznaugh +1

Built environment features (BEFs) refer to aspects of the human constructed environment, which may in turn support or restrict health related behaviors and thus impact health. In t…

stat.AP2019★ 99 cited

A comparison of statistical and machine learning methods for creating national daily maps of ambient PM concentration

Veronica J. Berrocal, Yawen Guan, Amanda Muyskens +4

A typical problem in air pollution epidemiology is exposure assessment for individuals for which health data are available. Due to the sparsity of monitoring sites and the limited…

stat.AP2016

Nonstationary Spatial Prediction of Soil Organic Carbon: Implications for Stock Assessment Decision Making

Mark D. Risser, Catherine A. Calder, Veronica J. Berrocal +1

The Rapid Carbon Assessment (RaCA) project was conducted by the US Department of Agriculture's National Resources Conservation Service between 2010-2012 in order to provide contemp…

stat.AP2010★ 2 cited

A bivariate space-time downscaler under space and time misalignment

Veronica J. Berrocal, Alan E. Gelfand, David M. Holland

Ozone and particulate matter PM2.5 are co-pollutants that have long been associated with increased public health risks. Information on concentration levels for both pollutants come…