2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ME2023
A Socio-Demographic Latent Space Approach to Spatial Data When Geography is Important but Not All-Important
Saikat Nandy, Scott H. Holan, Michael Schweinberger
Many models for spatial and spatio-temporal data assume that "near things are more related than distant things," which is known as the first law of geography. While geography may b…
stat.ME2022★ 2 cited
Bayesian Hierarchical Models For Multi-type Survey Data Using Spatially Correlated Covariates Measured With Error
Saikat Nandy, Scott H. Holan, Jonathan R. Bradley +1
We introduce Bayesian hierarchical models for predicting high-dimensional tabular survey data which can be distributed from one or multiple classes of distributions (e.g., Gaussian…