129 citations · 378 across the 24 of their papers we have counts for
4 papers · 1 filter
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…
Predictions of damages from Atlantic tropical cyclones: a hierarchical Bayesian study on extremes
Lindsey Dietz, Sakshi Arya, Vishal Subedi +2
Bayesian hierarchical models are proposed for modeling tropical cyclone characteristics and their damage potential in the Atlantic basin. We model the joint probability distributio…
Feature Selection using e-values
Subhabrata Majumdar, Snigdhansu Chatterjee
In the context of supervised parametric models, we introduce the concept of e-values. An e-value is a scalar quantity that represents the proximity of the sampling distribution of…