45 citations · 341 across the 31 of their papers we have counts for
13 papers · 1 filter
Joint species distribution models with imperfect detection for high-dimensional spatial data
Jeffrey W. Doser, Andrew O. Finley, Sudipto Banerjee
Determining spatial distributions of species and communities are key objectives of ecology and conservation. Joint species distribution models use multi-species detection-nondetect…
A Compartment Model of Human Mobility and Early Covid-19 Dynamics in NYC
Ian Frankenburg, Sudipto Banerjee
In this paper, we build a mechanistic system to understand the relation between a reduction in human mobility and Covid-19 spread dynamics within New York City. To this end, we pro…
Spatial Modeling for Correlated Cancers Using Bivariate Directed Graphs
Leiwen Gao, Sudipto Banerjee, Abhirup Datta
Disease maps are an important tool in cancer epidemiology used for the analysis of geographical variations in disease rates and the investigation of environmental risk factors unde…
Bayesian Inference for Finite Populations Under Spatial Process Settings
Alec M. Chan-Golston, Sudipto Banerjee, Mark S. Handcock
We develop a Bayesian model-based approach to finite population estimation accounting for spatial dependence. Our innovation here is a framework that achieves inference for finite…
Coastline Kriging: A Bayesian Approach
Nada Abdalla, Sudipto Banerjee, Gurumurthy Ramachandran +2
Statistical interpolation of chemical concentrations at new locations is an important step in assessing a worker's exposure level. When measurements are available from coastlines,…
Bayesian State Space Modeling of Physical Processes in Industrial Hygiene
Nada Abdalla, Sudipto Banerjee, Gurumurthy Ramachandran +1
Exposure assessment models are deterministic models derived from physical-chemical laws. In real workplace settings, chemical concentration measurements can be noisy and indirectly…