Concurrent spatiotemporal daily land use regression modeling and missing data imputation of fine particulate matter using distributed space-time expectation maximization
Department of Epidemiology and Biostatistics, School of Health, Isfahan University of Medical SciencesIsfahan, Iran; Student Research Committee, School of Health, Isfahan University of Medical SciencesIsfahan, Iran; Department of Management, Information and Production Engineering, University of BergamoBergamo, Italy; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
Recommended Citation:
Taghavi-Shahri S.M.,Fassò A.,Mahaki B.,et al. Concurrent spatiotemporal daily land use regression modeling and missing data imputation of fine particulate matter using distributed space-time expectation maximization[J]. Atmospheric Environment,2020-01-01,224