2 citations · 3 across the 4 of their papers we have counts for
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Spatiotemporal Proximal Causal Inference under Hidden Confounding and Interference
Omar Faruque, Pavan Raj Ravi, Jianwu Wang
Estimating causal effects from real-world spatiotemporal data is challenging due to hidden confounders and interference. Standard causal identification methods assume conditional e…
Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data
Francis Ndikum Nji, Omar Faruque, Mostafa Cham +2
Classifying subsets based on spatial and temporal features is crucial to the analysis of spatiotemporal data given the inherent spatial and temporal variability. Since no single cl…
Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference
Sahara Ali, Omar Faruque, Jianwu Wang
Spatial interference (SI) occurs when the treatment at one location affects the outcomes at other locations. Accounting for spatial interference in spatiotemporal settings poses fu…
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data
Omar Faruque, Sahara Ali, Xue Zheng +1
The growing availability and importance of time series data across various domains, including environmental science, epidemiology, and economics, has led to an increasing need for…