91 citations · 257 across the 49 of their papers we have counts for
4 papers · 1 filter
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…
Conjugate Modeling Approaches for Small Area Estimation with Heteroscedastic Structure
Paul A. Parker, Scott H. Holan, Ryan Janicki
Small area estimation has become an important tool in official statistics, used to construct estimates of population quantities for domains with small sample sizes. Typical area-le…
Bayesian Circular Lattice Filters for Computationally Efficient Estimation of Multivariate Time-Varying Autoregressive Models
Yuelei Sui, Scott H. Holan, Wen-Hsi Yang
Nonstationary time series data exist in various scientific disciplines, including environmental science, biology, signal processing, econometrics, among others. Many Bayesian model…
A Look into the Problem of Preferential Sampling from the Lens of Survey Statistics
Daniel Vedensky, Paul A. Parker, Scott H. Holan
An evolving problem in the field of spatial and ecological statistics is that of preferential sampling, where biases may be present due to a relationship between sample data locati…