Bayesian motion estimation for dust aerosols

DOI10.1214/15-AOAS835zbMath1454.62433arXiv1308.0469MaRDI QIDQ902905

Alex Lenkoski, Fabian E. Bachl, Thordis L. Thorarinsdottir, Christoph S. Garbe

Publication date: 4 January 2016

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

Full work available at URL: https://arxiv.org/abs/1308.0469

zbMATH Keywords

optical flowintegrated nested Laplace approximation (INLA)remote sensingsatellite dataGaussian Markov random fieldHorn and Schunck modelintegrated continuity equationSaharan dust stormstorm tracking

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15)

Related Items (1)

Bayesian motion estimation for dust aerosols

Uses Software

• GMRFLib

Cites Work

• Unnamed Item
• An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
• Bayesian motion estimation for dust aerosols
• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• A review of image-warping methods
• Gaussian Markov Random Fields
• A Kernel-Based Spatio-Temporal Dynamical Model for Nowcasting Weather Radar Reflectivities
• Uncertainty quantification in complex simulation models using ensemble copula coupling

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