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03/14/2023
Spatial causal inference in the presence of unmeasured confounding and interference
Causal inference in spatial settings is met with unique challenges and o...
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01/14/2022
A generalized likelihood based Bayesian approach for scalable joint regression and covariance selection in high dimensions
The paper addresses joint sparsity selection in the regression coefficie...
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03/18/2021
