Large Multi-scale Spatial Modeling Using Tree Shrinkage Priors

DOI10.5705/SS.202018.0232zbMath1464.62288arXiv1803.11331OpenAlexW2963051918WikidataQ128658544 ScholiaQ128658544MaRDI QIDQ4986341

Rajarshi Guhaniyogi, Bruno Sansó

Publication date: 27 April 2021

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1803.11331

zbMATH Keywords

sea surface temperaturemultiscale modelingdiscrete kernel convolutionlarge spatial datatree shrinkage prior

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Geostatistics (86A32)

Related Items (2)

Multi-scale shotgun stochastic search for large spatial datasets ⋮ Distributed Bayesian inference in massive spatial data

This page was built for publication: Large Multi-scale Spatial Modeling Using Tree Shrinkage Priors