most citedBayesian Hierarchical Models For Multi-type Survey Data Using Spatially Correlated Covariates Measured With Error

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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…