most citedA dynamic spatial filtering approach to mitigate underestimation bias in field calibrated low-cost sensor air-pollution data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ME2022

Infinite Hidden Markov Models for Multiple Multivariate Time Series with Missing Data

Lauren Hoskovec, Matthew D. Koslovsky, Kirsten Koehler +4

Exposure to air pollution is associated with increased morbidity and mortality. Recent technological advancements permit the collection of time-resolved personal exposure data. Suc…

stat.AP2022★ 1 cited

A dynamic spatial filtering approach to mitigate underestimation bias in field calibrated low-cost sensor air-pollution data

Claire Heffernan, Roger Peng, Drew R. Gentner +2

Low-cost air pollution sensors, offering hyper-local characterization of pollutant concentrations, are becoming increasingly prevalent in environmental and public health research.…