5 papers
Socioeconomic Drivers of Physical Morbidity Across U.S. Counties: A Spatial Causal Inference Approach
Ranadeep Daw, Hunter N. Evans, Indrabati Bhattacharya
Identifying the causal effects of socioeconomic determinants on population health is of many great interests - from statistical methodology development to public health practitione…
A Criterion for Aggregation Error for Multivariate Spatial Data
Ranadeep Daw, Jonathan R. Bradley, Christopher K. Wikle +1
The criterion for aggregation error (CAGE) is an important metric that aims to measure errors that arise in multiscale (or multi-resolution) spatial data, referred to as the modifi…
REDS: Random Ensemble Deep Spatial prediction
Ranadeep Daw, Christopher K. Wikle
There has been a great deal of recent interest in the development of spatial prediction algorithms for very large datasets and/or prediction domains. These methods have primarily b…
Correcting spatial Gaussian process parameter and prediction variance estimation under informative sampling
Erin M. Schliep, Christopher K. Wikle, Ranadeep Daw
Informative sampling designs can impact spatial prediction, or kriging, in two important ways. First, the sampling design can bias spatial covariance parameter estimation, which in…
Deep Neural Network in Cusp Catastrophe Model
Ranadeep Daw, Zhuoqiong He
Catastrophe theory was originally proposed to study dynamical systems that exhibit sudden shifts in behavior arising from small changes in input. These models can generate reasonab…