A DYNAMIC SPATIAL FILTERING APPROACH TO MITIGATE UNDERESTIMATION BIAS IN FIELD CALIBRATED LOW-COST SENSOR AIR POLLUTION DATA.
Heffernan C, Peng R, Gentner D, Koehler K, Datta A. A DYNAMIC SPATIAL FILTERING APPROACH TO MITIGATE UNDERESTIMATION BIAS IN FIELD CALIBRATED LOW-COST SENSOR AIR POLLUTION DATA. The Annals Of Applied Statistics 2023, 17: 3056-3087. PMID: 38646662, PMCID: PMC11031266, DOI: 10.1214/23-aoas1751.Peer-Reviewed Original Research