129 citations · 378 across the 24 of their papers we have counts for
24 papers
Profile least squares estimation in networks with covariates
Swati Chandna, Benjamin Bagozzi, Snigdhansu Chatterjee
Many real world networks exhibit edge heterogeneity with different pairs of nodes interacting with different intensities. Further, nodes with similar attributes tend to interact mo…
Discovering Melting Temperature Prediction Models of Inorganic Solids by Combining Supervised and Unsupervised Learning
Vahe Gharakhanyan, Luke J. Wirth, Jose A. Garrido Torres +5
The melting temperature is important for materials design because of its relationship with thermal stability, synthesis, and processing conditions. Current empirical and computatio…
Credible Distributions of Overall Ranking of Entities
Snigdhansu Chatterjee, Gauri Sankar Datta, Yiren Hou +1
Ranking, and inferences based on ranking of a set of entities, are important problems in numerous contexts. This is especially true in small area statistics where there may be only…
Uncertainty Quantification in Inverse Models in Hydrology
Somya Sharma Chatterjee, Rahul Ghosh, Arvind Renganathan +5
In hydrology, modeling streamflow remains a challenging task due to the limited availability of basin characteristics information such as soil geology and geomorphology. These char…
Probabilistic Inverse Modeling: An Application in Hydrology
Somya Sharma, Rahul Ghosh, Arvind Renganathan +5
The astounding success of these methods has made it imperative to obtain more explainable and trustworthy estimates from these models. In hydrology, basin characteristics can be no…
Robust Causality and False Attribution in Data-Driven Earth Science Discoveries
Elizabeth Eldhose, Tejasvi Chauhan, Vikram Chandel +2
Causal and attribution studies are essential for earth scientific discoveries and critical for informing climate, ecology, and water policies. However, the current generation of me…