2 citations · 5 across the 8 of their papers we have counts for
9 papers
Optimal Experimental Design for Network Experiments under Interference
Zuhra F. S. Lebbe, Asim K. Dey
Experimental design under network interference is challenging because outcomes may depend on the treatment assignments of neighboring units. Existing approaches account for network…
Joint Temperature-Precipitation Patterns in the U.S. South Central Region: Multivariate Functional Inference and Gaussian Mixture Modeling
Gihani V. W. W. Disanayakage, Asim K. Dey, Kumer P. Das
Joint variability in temperature and precipitation is central in characterizing seasonal climate structure and associated environmental processes, yet many regional analyses rely o…
A Deep Learning-Copula Framework for Climate-Related Home Insurance Risk
Asim K. Dey
Extreme weather events are becoming more common, with severe storms, floods, and prolonged precipitation affecting communities worldwide. These shifts in climate patterns pose a di…
Understanding How Network Geometry Influences Diffusion Processes in Complex Networks: A Focus on Cryptocurrency Blockchains and Critical Infrastructure Networks
S M Mustaquim, Asim K. Dey, Abhijit Mandal
This study provides essential insights into how diffusion processes unfold in complex networks, with a focus on cryptocurrency blockchains and infrastructure networks. The structur…
A2 Copula-Driven Spatial Bayesian Neural Network For Modeling Non-Gaussian Dependence: A Simulation Study
Agnideep Aich, Sameera Hewage, Md Monzur Murshed +5
In this paper, we introduce the A2 Copula Spatial Bayesian Neural Network (A2-SBNN), a predictive spatial model designed to map coordinates to continuous fields while capturing bot…
Modeling Weather-induced Home Insurance Risks with Support Vector Machine Regression
Asim K. Dey, Vyacheslav Lyubchich, Yulia R. Gel
Insurance industry is one of the most vulnerable sectors to climate change. Assessment of future number of claims and incurred losses is critical for disaster preparedness and risk…
How do mobility restrictions and social distancing during COVID-19 affect the crude oil price?
Asim K. Dey, Kumer P. Das
We develop an air mobility index and use the newly developed Apple's driving trend index to evaluate the impact of COVID-19 on the crude oil price. We use quantile regression and s…
Quantifying the impact of COVID-19 on the US stock market: An analysis from multi-source information
Asim Kumer Dey, Toufiqul Haq, Kumer Das +1
We develop a novel temporal complex network approach to quantify the US county level spread dynamics of COVID-19. The objective is to study the effects of the local spread dynamics…
Motif-based analysis of power grid robustness under attacks
Asim Kumer Dey, Yulia R. Gel, H. Vincent Poor
Network motifs are often called the building blocks of networks. Analysis of motifs is found to be an indispensable tool for understanding local network structure, in contrast to m…