1 citations · 3 across the 4 of their papers we have counts for
5 papers
Spatially-Indexed Longitudinal Distributional Outcome Regression for Environmental Monitoring
Rahul Ghosal, Suman Majumder, Indranil Sahoo
Characterizing longitudinal changes in region-specific distribution of environmental exposures, such as total nitrate (TNO) concentrations, is critical for understanding locali…
Bayesian Variable Selection for Censored Spatial Responses with Application to PFAS Concentrations in California
Suman Majumder, Indranil Sahoo
Per- and polyfluoroalkyl substances (PFAS) are persistent environmental pollutants of major public health concern due to their resistance to degradation, widespread presence, and p…
A Bayesian Multivariate Spatial Point Pattern Model: Application to Oral Microbiome FISH Image Data
Kyu Ha Lee, Brent A. Coull, Suman Majumder +3
Advances in cellular imaging technologies, especially those based on fluorescence in situ hybridization (FISH) now allow detailed visualization of the spatial organization of human…
Computationally Scalable Bayesian SPDE Modeling for Censored Spatial Responses
Indranil Sahoo, Suman Majumder, Arnab Hazra +2
Observations of groundwater pollutants, such as arsenic or Perfluorooctane sulfonate (PFOS), are riddled with left censoring. These measurements have impact on the health and lifes…
Statistical downscaling with spatial misalignment: Application to wildland fire PM concentration forecasting
Suman Majumder, Yawen Guan, Brian J. Reich +2
Fine particulate matter, PM, has been documented to have adverse health effects and wildland fires are a major contributor to PM air pollution in the US. Forecaster…