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20092023
most citedCovariance approximation for large multivariate spatial data sets with an application to multiple climate model errors

70 citations · 103 across the 11 of their papers we have counts for

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5 papers · 1 filter

stat.AP2021

Risk Based Arsenic Rational Sampling Design for Public and Environmental Health Management

Lihao Yin, Huiyan Sang, Douglas J. Schnoebelen +6

Groundwater contaminated with arsenic has been recognized as a global threat, which negatively impacts human health. Populations that rely on private wells for their drinking water…

stat.AP2021

Fused Spatial Point Process Intensity Estimation with Varying Coefficients on Complex Constrained Domains

Lihao Yin, Huiyan Sang

The availability of large spatial data geocoded at accurate locations has fueled a growing interest in spatial modeling and analysis of point processes. The proposed research is mo…

stat.AP2020★ 2 cited

Bayesian Spatial Homogeneity Pursuit of Functional Data: an Application to the U.S. Income Distribution

Guanyu Hu, Junxian Geng, Yishu Xue +1

An income distribution describes how an entity's total wealth is distributed amongst its population. A problem of interest to regional economics researchers is to understand the sp…

stat.AP2012★ 70 cited

Covariance approximation for large multivariate spatial data sets with an application to multiple climate model errors

Huiyan Sang, Mikyoung Jun, Jianhua Z. Huang

This paper investigates the cross-correlations across multiple climate model errors. We build a Bayesian hierarchical model that accounts for the spatial dependence of individual m…

stat.AP2009★ 22 cited

Interpreting self-organizing maps through space--time data models

Huiyan Sang, Alan E. Gelfand, Chris Lennard +2

Self-organizing maps (SOMs) are a technique that has been used with high-dimensional data vectors to develop an archetypal set of states (nodes) that span, in some sense, the high-…