Mapping interstellar dust with Gaussian processes

DOI10.1214/22-AOAS1608zbMath1498.62343arXiv2202.06797MaRDI QIDQ2080783

John P. Cunningham, David M. Blei, Andrew C. Miller, Lauren Anderson, David W. Hogg, Boris Leistedt

Publication date: 10 October 2022

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2202.06797

zbMATH Keywords

Gaussian processastrostatisticsstochastic variational inferenceinterstellar dust

Mathematics Subject Classification ID

Applications of statistics to physics (62P35) Statistical astronomy (85A35)

Uses Software

• spBayes
• George

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Microarrays, empirical Bayes and the two-groups model
• Compactly supported correlation functions
• An introduction to variational methods for graphical models
• A case study competition among methods for analyzing large spatial data
• Bayes, oracle Bayes and empirical Bayes
• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• 10.1162/15324430260185637
• Graphical Models, Exponential Families, and Variational Inference
• The intrinsic random functions and their applications
• A Stochastic Approximation Method
• The origins of kriging