most citedNearest-Neighbor Mixture Models for Non-Gaussian Spatial Processes

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stat.ME2021

Bayesian Geostatistical Modeling for Discrete-Valued Processes

Xiaotian Zheng, Athanasios Kottas, Bruno Sansó

We introduce a flexible and scalable class of Bayesian geostatistical models for discrete data, based on the class of nearest neighbor mixture transition distribution processes (NN…

stat.ME2021★ 1 cited

Nearest-Neighbor Mixture Models for Non-Gaussian Spatial Processes

Xiaotian Zheng, Athanasios Kottas, Bruno Sansó

We develop a class of nearest-neighbor mixture models that provide direct, computationally efficient, probabilistic modeling for non-Gaussian geospatial data. The class is defined…