7 citations · 25 across the 17 of their papers we have counts for
10 papers · 1 filter
Inverse Control Constrained Optimization of Vessel Speed Decisions Under Environmental Risk: Evidence from Arctic Shipping
Mauli Pant, Linda Fernandez, Indranil Sahoo
Understanding how decision makers balance operational efficiency with environmental and ecological risks is central to vessel navigation. We model vessel speed as a control variabl…
An Adaptive Graphical Lasso Approach to Modeling Symptom Networks of Common Mental Disorders in Eritrean Refugee Population
Elizabeth B. Amona, Indranil Sahoo, David Chan +2
Despite the significant public health burden of common mental disorders (CMDs) among refugee populations, their underlying symptom structures remain underexplored. This study uses…
A Statistical Framework for Spatial Boundary Estimation and Change Detection: Application to the Sahel Sahara Climate Transition
Stephen Tivenan, Indranil Sahoo, Yanjun Qian
Spatial boundaries, such as ecological transitions or climatic regime interfaces, capture steep environmental gradients, and shifts in their structure can signal emerging environme…
Spatio-temporal Shared-Field Modeling of Beluga and Bowhead Whale Sightings Using a Joint Marked Log-Gaussian Cox Process
Mauli Pant, Linda Fernandez, Indranil Sahoo
We analyze a decade of aerial survey whale sighting data (2010-2019) to model the spatio-temporal distributions and group sizes of beluga (Delphinapterus leucas) and bowhead (Balae…
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…
Studying Disease Reinfection Rates, Vaccine Efficacy and the Timing of Vaccine Rollout in the context of Infectious Diseases
Elizabeth Amona, Indranil Sahoo, Edward Boone +1
Qatar has undergone distinct waves of COVID-19 infections, compounded by the emergence of variants, posing additional complexities. This research uniquely delves into the varied ef…
Missing Data Imputation and Multilevel Conditional Autoregressive Modeling of Spatial End-Stage Renal Disease Incidence
Supraja Malladi, Indranil Sahoo, QiQi Lu
End-stage renal disease has many adverse complications associated with it leading to 20-50% higher mortality rates in people than those without the disease. This makes it one of th…
Incorporating Interventions to an Extended SEIRD Model with Vaccination: Application to COVID-19 in Qatar
Elizabeth B Amona, Ryad A Ghanam, Edward L Boone +2
The Covid-19 outbreak of 2020 has required many governments to develop and adopt mathematical-statistical models of the pandemic for policy and planning purposes. To this end, this…
Contamination mapping in Bangladesh using a multivariate spatial Bayesian model for left-censored data
Indranil Sahoo, Arnab Hazra
Arsenic (As) and other toxic elements contamination of groundwater in Bangladesh poses a major threat to millions of people on a daily basis. Understanding complex relationships be…
Estimating Atmospheric Motion Winds from Satellite Image Data using Space-time Drift Models
Indranil Sahoo, Joseph Guinness, Brian J. Reich
Geostationary satellites collect high-resolution weather data comprising a series of images which can be used to estimate wind speed and direction at different altitudes. The Deriv…