Attaching uncertainty to deterministic spatial interpolations

DOI10.1016/J.STAMET.2011.06.001zbMath1248.62168OpenAlexW2079550467MaRDI QIDQ713947

Thomas Mølhave, Souparno Ghosh, Alan E. Gelfand

Publication date: 19 October 2012

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.stamet.2011.06.001

zbMATH Keywords

calibrationmeasurement errordigital elevation modeldata fusionmulti-level model

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Numerical interpolation (65D05)

Uses Software

• nn

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Design and analysis of computer experiments. With comments and a rejoinder by the authors
• A spatio-temporal downscaler for output from numerical models
• Model choice: a minimum posterior predictive loss approach
• Inference for Deterministic Simulation Models: The Bayesian Melding Approach
• Inference from a Deterministic Population Dynamics Model for Bowhead Whales
• Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics
• Model Evaluation and Spatial Interpolation by Bayesian Combination of Observations with Outputs from Numerical Models
• Modelling Species Diversity Through Species Level Hierarchical Modelling

This page was built for publication: Attaching uncertainty to deterministic spatial interpolations