3 papers
stat.CO2022
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…
stat.ME2021
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…
cs.LG2020
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…